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You searched for subject:(Protein network). Showing records 1 – 30 of 153 total matches.

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University of Edinburgh

1. Zografos, Lysimachos. Reconstructing and analysing protein-protein interaction networks of synaptic molecular machines.

Degree: 2012, University of Edinburgh

 The postsynaptic density (PSD) is a complex, dynamic structure composed of ~2000 distinct proteins, found at the postsynaptic membrane. Interactions, of transient and non-transient nature,… (more)

Subjects/Keywords: synapse; protein; network; interaction; graph

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APA (6th Edition):

Zografos, L. (2012). Reconstructing and analysing protein-protein interaction networks of synaptic molecular machines. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/7706

Chicago Manual of Style (16th Edition):

Zografos, Lysimachos. “Reconstructing and analysing protein-protein interaction networks of synaptic molecular machines.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed July 17, 2019. http://hdl.handle.net/1842/7706.

MLA Handbook (7th Edition):

Zografos, Lysimachos. “Reconstructing and analysing protein-protein interaction networks of synaptic molecular machines.” 2012. Web. 17 Jul 2019.

Vancouver:

Zografos L. Reconstructing and analysing protein-protein interaction networks of synaptic molecular machines. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1842/7706.

Council of Science Editors:

Zografos L. Reconstructing and analysing protein-protein interaction networks of synaptic molecular machines. [Doctoral Dissertation]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/7706


University of New South Wales

2. Goel, Apurv. Visualisation and analysis of the dynamics and organisation of the yeast interactome.

Degree: Biotechnology & Biomolecular Sciences, 2013, University of New South Wales

Protein-protein interaction networks are increasingly used for understanding the structure and dynamics of cellular function. They are an essential tool for systems biology. The data… (more)

Subjects/Keywords: Network visualisation; Protein interactions; Network motifs; Network dynamics

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APA (6th Edition):

Goel, A. (2013). Visualisation and analysis of the dynamics and organisation of the yeast interactome. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52999 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11677/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Goel, Apurv. “Visualisation and analysis of the dynamics and organisation of the yeast interactome.” 2013. Doctoral Dissertation, University of New South Wales. Accessed July 17, 2019. http://handle.unsw.edu.au/1959.4/52999 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11677/SOURCE01?view=true.

MLA Handbook (7th Edition):

Goel, Apurv. “Visualisation and analysis of the dynamics and organisation of the yeast interactome.” 2013. Web. 17 Jul 2019.

Vancouver:

Goel A. Visualisation and analysis of the dynamics and organisation of the yeast interactome. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2019 Jul 17]. Available from: http://handle.unsw.edu.au/1959.4/52999 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11677/SOURCE01?view=true.

Council of Science Editors:

Goel A. Visualisation and analysis of the dynamics and organisation of the yeast interactome. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52999 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11677/SOURCE01?view=true


University of Oxford

3. Ali, Waqar. Conservation, error and dynamics in protein interaction networks.

Degree: 2011, University of Oxford

 The availability of large scale protein interaction networks for several species has motivated many comparative studies in recent years. These studies typically employ network alignment… (more)

Subjects/Keywords: 612.01575; Mathematical biology : network alignment : protein interactions

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APA (6th Edition):

Ali, W. (2011). Conservation, error and dynamics in protein interaction networks. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:15c23000-9c31-4191-a227-d507f2cec558 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556215

Chicago Manual of Style (16th Edition):

Ali, Waqar. “Conservation, error and dynamics in protein interaction networks.” 2011. Doctoral Dissertation, University of Oxford. Accessed July 17, 2019. http://ora.ox.ac.uk/objects/uuid:15c23000-9c31-4191-a227-d507f2cec558 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556215.

MLA Handbook (7th Edition):

Ali, Waqar. “Conservation, error and dynamics in protein interaction networks.” 2011. Web. 17 Jul 2019.

Vancouver:

Ali W. Conservation, error and dynamics in protein interaction networks. [Internet] [Doctoral dissertation]. University of Oxford; 2011. [cited 2019 Jul 17]. Available from: http://ora.ox.ac.uk/objects/uuid:15c23000-9c31-4191-a227-d507f2cec558 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556215.

Council of Science Editors:

Ali W. Conservation, error and dynamics in protein interaction networks. [Doctoral Dissertation]. University of Oxford; 2011. Available from: http://ora.ox.ac.uk/objects/uuid:15c23000-9c31-4191-a227-d507f2cec558 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556215


Cornell University

4. Vo, Tommy. Exploring Functional Landscapes Of The Cell Through The Lens Of Protein Interactome Networks .

Degree: 2016, Cornell University

 Proteins function primarily by physically interacting with other proteins. As such, maps of these interactions, called protein interactome networks, can be valuable resources to help… (more)

Subjects/Keywords: protein interactome; network evolution; Schizosaccharomyces pombe

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APA (6th Edition):

Vo, T. (2016). Exploring Functional Landscapes Of The Cell Through The Lens Of Protein Interactome Networks . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/44396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vo, Tommy. “Exploring Functional Landscapes Of The Cell Through The Lens Of Protein Interactome Networks .” 2016. Thesis, Cornell University. Accessed July 17, 2019. http://hdl.handle.net/1813/44396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vo, Tommy. “Exploring Functional Landscapes Of The Cell Through The Lens Of Protein Interactome Networks .” 2016. Web. 17 Jul 2019.

Vancouver:

Vo T. Exploring Functional Landscapes Of The Cell Through The Lens Of Protein Interactome Networks . [Internet] [Thesis]. Cornell University; 2016. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1813/44396.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vo T. Exploring Functional Landscapes Of The Cell Through The Lens Of Protein Interactome Networks . [Thesis]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44396

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

5. Kazemi, Ehsan. Network Alignment: Theory, Algorithms, and Applications.

Degree: 2016, EPFL

 Networks are central in the modeling and analysis of many large-scale human and technical systems, and they have applications in diverse fields such as computer… (more)

Subjects/Keywords: Network mining; network alignment; graph matching; random graph; percolation; protein-protein interaction; epidemic modeling

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APA (6th Edition):

Kazemi, E. (2016). Network Alignment: Theory, Algorithms, and Applications. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/222510

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kazemi, Ehsan. “Network Alignment: Theory, Algorithms, and Applications.” 2016. Thesis, EPFL. Accessed July 17, 2019. http://infoscience.epfl.ch/record/222510.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kazemi, Ehsan. “Network Alignment: Theory, Algorithms, and Applications.” 2016. Web. 17 Jul 2019.

Vancouver:

Kazemi E. Network Alignment: Theory, Algorithms, and Applications. [Internet] [Thesis]. EPFL; 2016. [cited 2019 Jul 17]. Available from: http://infoscience.epfl.ch/record/222510.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kazemi E. Network Alignment: Theory, Algorithms, and Applications. [Thesis]. EPFL; 2016. Available from: http://infoscience.epfl.ch/record/222510

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

6. Gu, Jinghua. Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer.

Degree: PhD, Electrical and Computer Engineering, 2013, Virginia Tech

 Recent breakthroughs in high-throughput biotechnology have promoted the integration of multi-platform data to investigate signal transduction pathways within a cell. In order to model complicated… (more)

Subjects/Keywords: Microarray Data Analysis; Transcriptional Regulatory Network Protein-Protein-Interaction Network; Aberrant Signaling Pathway Markers

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APA (6th Edition):

Gu, J. (2013). Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51950

Chicago Manual of Style (16th Edition):

Gu, Jinghua. “Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer.” 2013. Doctoral Dissertation, Virginia Tech. Accessed July 17, 2019. http://hdl.handle.net/10919/51950.

MLA Handbook (7th Edition):

Gu, Jinghua. “Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer.” 2013. Web. 17 Jul 2019.

Vancouver:

Gu J. Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10919/51950.

Council of Science Editors:

Gu J. Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51950


University of Dundee

7. McDowall, Mark. Human protein-protein interaction prediction.

Degree: PhD, 2011, University of Dundee

Protein-protein interactions are essential for the survival of all living cells, allowing for processes such as cell signalling, metabolism and cell division to occur. Yet… (more)

Subjects/Keywords: 572.6; Bioinformatics; Protein-Protein Interaction; Human; Network Analysis; PIPs

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APA (6th Edition):

McDowall, M. (2011). Human protein-protein interaction prediction. (Doctoral Dissertation). University of Dundee. Retrieved from http://hdl.handle.net/10588/697e465a-edbd-41d2-acda-5910a49e4157

Chicago Manual of Style (16th Edition):

McDowall, Mark. “Human protein-protein interaction prediction.” 2011. Doctoral Dissertation, University of Dundee. Accessed July 17, 2019. http://hdl.handle.net/10588/697e465a-edbd-41d2-acda-5910a49e4157.

MLA Handbook (7th Edition):

McDowall, Mark. “Human protein-protein interaction prediction.” 2011. Web. 17 Jul 2019.

Vancouver:

McDowall M. Human protein-protein interaction prediction. [Internet] [Doctoral dissertation]. University of Dundee; 2011. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10588/697e465a-edbd-41d2-acda-5910a49e4157.

Council of Science Editors:

McDowall M. Human protein-protein interaction prediction. [Doctoral Dissertation]. University of Dundee; 2011. Available from: http://hdl.handle.net/10588/697e465a-edbd-41d2-acda-5910a49e4157


University of Western Ontario

8. Qian, Yu. Protein-Protein Interaction Network Alignment.

Degree: 2014, University of Western Ontario

 Proteins are some of the building blocks of organisms. They usually perform their functions by interacting with each other and forming protein complexes. A protein(more)

Subjects/Keywords: protein-protein interaction; network alignment; PPI prediction; Computer Sciences

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APA (6th Edition):

Qian, Y. (2014). Protein-Protein Interaction Network Alignment. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/2579

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qian, Yu. “Protein-Protein Interaction Network Alignment.” 2014. Thesis, University of Western Ontario. Accessed July 17, 2019. https://ir.lib.uwo.ca/etd/2579.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qian, Yu. “Protein-Protein Interaction Network Alignment.” 2014. Web. 17 Jul 2019.

Vancouver:

Qian Y. Protein-Protein Interaction Network Alignment. [Internet] [Thesis]. University of Western Ontario; 2014. [cited 2019 Jul 17]. Available from: https://ir.lib.uwo.ca/etd/2579.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qian Y. Protein-Protein Interaction Network Alignment. [Thesis]. University of Western Ontario; 2014. Available from: https://ir.lib.uwo.ca/etd/2579

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Harvard University

9. Rossin, Elizabeth Jeffries. The Proteomic Landscape of Human Disease: Construction and Evaluation of Networks Associated to Complex Traits.

Degree: PhD, Biological and Biomedical Sciences, 2012, Harvard University

 Genetic mapping of complex traits has been successful over the last decade, with over 2,000 regions in the genome associated to disease. Yet, the translation… (more)

Subjects/Keywords: GWAS; network; protein-protein interaction; proteomics; sequencing; genetics

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APA (6th Edition):

Rossin, E. J. (2012). The Proteomic Landscape of Human Disease: Construction and Evaluation of Networks Associated to Complex Traits. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:9909632

Chicago Manual of Style (16th Edition):

Rossin, Elizabeth Jeffries. “The Proteomic Landscape of Human Disease: Construction and Evaluation of Networks Associated to Complex Traits.” 2012. Doctoral Dissertation, Harvard University. Accessed July 17, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:9909632.

MLA Handbook (7th Edition):

Rossin, Elizabeth Jeffries. “The Proteomic Landscape of Human Disease: Construction and Evaluation of Networks Associated to Complex Traits.” 2012. Web. 17 Jul 2019.

Vancouver:

Rossin EJ. The Proteomic Landscape of Human Disease: Construction and Evaluation of Networks Associated to Complex Traits. [Internet] [Doctoral dissertation]. Harvard University; 2012. [cited 2019 Jul 17]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9909632.

Council of Science Editors:

Rossin EJ. The Proteomic Landscape of Human Disease: Construction and Evaluation of Networks Associated to Complex Traits. [Doctoral Dissertation]. Harvard University; 2012. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9909632


University of Dundee

10. McDowall, Mark. Human protein-protein interaction prediction.

Degree: PhD, 2011, University of Dundee

Protein-protein interactions are essential for the survival of all living cells, allowing for processes such as cell signalling, metabolism and cell division to occur. Yet… (more)

Subjects/Keywords: 572.6; Bioinformatics; Protein-Protein Interaction; Human; Network Analysis; PIPs

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APA (6th Edition):

McDowall, M. (2011). Human protein-protein interaction prediction. (Doctoral Dissertation). University of Dundee. Retrieved from https://discovery.dundee.ac.uk/en/studentTheses/697e465a-edbd-41d2-acda-5910a49e4157 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578814

Chicago Manual of Style (16th Edition):

McDowall, Mark. “Human protein-protein interaction prediction.” 2011. Doctoral Dissertation, University of Dundee. Accessed July 17, 2019. https://discovery.dundee.ac.uk/en/studentTheses/697e465a-edbd-41d2-acda-5910a49e4157 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578814.

MLA Handbook (7th Edition):

McDowall, Mark. “Human protein-protein interaction prediction.” 2011. Web. 17 Jul 2019.

Vancouver:

McDowall M. Human protein-protein interaction prediction. [Internet] [Doctoral dissertation]. University of Dundee; 2011. [cited 2019 Jul 17]. Available from: https://discovery.dundee.ac.uk/en/studentTheses/697e465a-edbd-41d2-acda-5910a49e4157 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578814.

Council of Science Editors:

McDowall M. Human protein-protein interaction prediction. [Doctoral Dissertation]. University of Dundee; 2011. Available from: https://discovery.dundee.ac.uk/en/studentTheses/697e465a-edbd-41d2-acda-5910a49e4157 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578814


University of California – San Francisco

11. Apeltsin, Leonard. Exploring the Protein Universe from General Principles.

Degree: Biological and Medical Informatics, 2011, University of California – San Francisco

 This dissertation is concerned with the construction and validation of an organizational framework for processing large protein sequence datasets. The framework relies on the accurate… (more)

Subjects/Keywords: Bioinformatics; Clustering; Functional Residue Prediction; Protein Network; Protein Universe

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APA (6th Edition):

Apeltsin, L. (2011). Exploring the Protein Universe from General Principles. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/600245hv

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Apeltsin, Leonard. “Exploring the Protein Universe from General Principles.” 2011. Thesis, University of California – San Francisco. Accessed July 17, 2019. http://www.escholarship.org/uc/item/600245hv.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Apeltsin, Leonard. “Exploring the Protein Universe from General Principles.” 2011. Web. 17 Jul 2019.

Vancouver:

Apeltsin L. Exploring the Protein Universe from General Principles. [Internet] [Thesis]. University of California – San Francisco; 2011. [cited 2019 Jul 17]. Available from: http://www.escholarship.org/uc/item/600245hv.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Apeltsin L. Exploring the Protein Universe from General Principles. [Thesis]. University of California – San Francisco; 2011. Available from: http://www.escholarship.org/uc/item/600245hv

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

12. Macdonald, Rebecca Joanne. Investigations into the Pilot Scale Separation of Protein and Starch Biopolymers from Oat Cereal.

Degree: Chemical and Process Engineering, 2010, University of Canterbury

 Cereals contain naturally occurring biopolymers (for example proteins and starches) that can be used as renewable raw materials in a variety of speciality chemical applications.… (more)

Subjects/Keywords: oat; cereal; biopolymer; separation; protein; gluten; starch; scale up; rheology; protein network; protein structure

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APA (6th Edition):

Macdonald, R. J. (2010). Investigations into the Pilot Scale Separation of Protein and Starch Biopolymers from Oat Cereal. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/5073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Macdonald, Rebecca Joanne. “Investigations into the Pilot Scale Separation of Protein and Starch Biopolymers from Oat Cereal.” 2010. Thesis, University of Canterbury. Accessed July 17, 2019. http://hdl.handle.net/10092/5073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Macdonald, Rebecca Joanne. “Investigations into the Pilot Scale Separation of Protein and Starch Biopolymers from Oat Cereal.” 2010. Web. 17 Jul 2019.

Vancouver:

Macdonald RJ. Investigations into the Pilot Scale Separation of Protein and Starch Biopolymers from Oat Cereal. [Internet] [Thesis]. University of Canterbury; 2010. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10092/5073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Macdonald RJ. Investigations into the Pilot Scale Separation of Protein and Starch Biopolymers from Oat Cereal. [Thesis]. University of Canterbury; 2010. Available from: http://hdl.handle.net/10092/5073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Τσιούτσιου, Βάια. Πρόβλεψη πρωτεϊνικής λειτουργίας με χρήση μεθόδου συγχρονισμού σύνθετων δικτύων.

Degree: 2013, University of Patras

Οι πρωτεϊνικές αλληλεπιδράσεις (PPI) αναφέρονται στην σύνδεση δύο ή περισσοτέρων πρωτεϊνών ώστε να εκτελεστεί μια βιολογική λειτουργία. Την τελευταία δεκαετία, νέες τεχνολογίες υψηλής απόδοσης για… (more)

Subjects/Keywords: Πρωτεϊνικές λειτουργίες; Συγχρονισμός; Δίκτυο πρωτεϊνικών αλληλεπιδράσεων; 572.64; Protein function; Synchronization; Protein-protein interaction network; Kuramoto

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APA (6th Edition):

Τσιούτσιου, . (2013). Πρόβλεψη πρωτεϊνικής λειτουργίας με χρήση μεθόδου συγχρονισμού σύνθετων δικτύων. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/6304

Chicago Manual of Style (16th Edition):

Τσιούτσιου, Βάια. “Πρόβλεψη πρωτεϊνικής λειτουργίας με χρήση μεθόδου συγχρονισμού σύνθετων δικτύων.” 2013. Masters Thesis, University of Patras. Accessed July 17, 2019. http://hdl.handle.net/10889/6304.

MLA Handbook (7th Edition):

Τσιούτσιου, Βάια. “Πρόβλεψη πρωτεϊνικής λειτουργίας με χρήση μεθόδου συγχρονισμού σύνθετων δικτύων.” 2013. Web. 17 Jul 2019.

Vancouver:

Τσιούτσιου . Πρόβλεψη πρωτεϊνικής λειτουργίας με χρήση μεθόδου συγχρονισμού σύνθετων δικτύων. [Internet] [Masters thesis]. University of Patras; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10889/6304.

Council of Science Editors:

Τσιούτσιου . Πρόβλεψη πρωτεϊνικής λειτουργίας με χρήση μεθόδου συγχρονισμού σύνθετων δικτύων. [Masters Thesis]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/6304


University of Cincinnati

14. Deng, Jingyuan. A network-based approach to associate High Density Lipoprotein (HDL)''s subspeciation with its cardiovascular protective functions.

Degree: PhD, Engineering and Applied Science: Biomedical Engineering, 2012, University of Cincinnati

 High density lipoproteins are a heterogeneous group of particles composed of proteins and lipids that in approximately equal mass. The most abundant HDL proteins are… (more)

Subjects/Keywords: Bioinformatics; High density lipoprotein; protein interactome network; network-based biomarker

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APA (6th Edition):

Deng, J. (2012). A network-based approach to associate High Density Lipoprotein (HDL)''s subspeciation with its cardiovascular protective functions. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342543891

Chicago Manual of Style (16th Edition):

Deng, Jingyuan. “A network-based approach to associate High Density Lipoprotein (HDL)''s subspeciation with its cardiovascular protective functions.” 2012. Doctoral Dissertation, University of Cincinnati. Accessed July 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342543891.

MLA Handbook (7th Edition):

Deng, Jingyuan. “A network-based approach to associate High Density Lipoprotein (HDL)''s subspeciation with its cardiovascular protective functions.” 2012. Web. 17 Jul 2019.

Vancouver:

Deng J. A network-based approach to associate High Density Lipoprotein (HDL)''s subspeciation with its cardiovascular protective functions. [Internet] [Doctoral dissertation]. University of Cincinnati; 2012. [cited 2019 Jul 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342543891.

Council of Science Editors:

Deng J. A network-based approach to associate High Density Lipoprotein (HDL)''s subspeciation with its cardiovascular protective functions. [Doctoral Dissertation]. University of Cincinnati; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342543891


Indian Institute of Science

15. Bhattacharyya, Moitrayee. Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory.

Degree: 2012, Indian Institute of Science

 The fidelity of biological processes and reactions, inspite of the widespread diversity, is programmed by highly specific physico-chemical principles. This underlines our basic understanding of… (more)

Subjects/Keywords: Protein Structure; Protein - Non Covalent Interactions; Nucleic Acids- Non Covalent Interactions; Bacterial LuxS Protein; Protein-Ligand Interactions; Protein Structure Networks; Proteins - Conformation; Allosteric Proteins; Energy-Weighted Network Formalism; Proteins - Allosterism; Protein Structure Network (PSN); Protein Structure Graph (PSN); Protein Complex Energy Network (PcEN); Biochemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhattacharyya, M. (2012). Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2341

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bhattacharyya, Moitrayee. “Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory.” 2012. Thesis, Indian Institute of Science. Accessed July 17, 2019. http://hdl.handle.net/2005/2341.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bhattacharyya, Moitrayee. “Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory.” 2012. Web. 17 Jul 2019.

Vancouver:

Bhattacharyya M. Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory. [Internet] [Thesis]. Indian Institute of Science; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/2005/2341.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhattacharyya M. Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory. [Thesis]. Indian Institute of Science; 2012. Available from: http://hdl.handle.net/2005/2341

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

16. Bhattacharyya, Moitrayee. Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory.

Degree: 2012, Indian Institute of Science

 The fidelity of biological processes and reactions, inspite of the widespread diversity, is programmed by highly specific physico-chemical principles. This underlines our basic understanding of… (more)

Subjects/Keywords: Protein Structure; Protein - Non Covalent Interactions; Nucleic Acids- Non Covalent Interactions; Bacterial LuxS Protein; Protein-Ligand Interactions; Protein Structure Networks; Proteins - Conformation; Allosteric Proteins; Energy-Weighted Network Formalism; Proteins - Allosterism; Protein Structure Network (PSN); Protein Structure Graph (PSN); Protein Complex Energy Network (PcEN); Biochemistry

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhattacharyya, M. (2012). Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/2341 ; http://etd.ncsi.iisc.ernet.in/abstracts/3012/G25330-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bhattacharyya, Moitrayee. “Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory.” 2012. Thesis, Indian Institute of Science. Accessed July 17, 2019. http://etd.iisc.ernet.in/handle/2005/2341 ; http://etd.ncsi.iisc.ernet.in/abstracts/3012/G25330-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bhattacharyya, Moitrayee. “Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory.” 2012. Web. 17 Jul 2019.

Vancouver:

Bhattacharyya M. Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory. [Internet] [Thesis]. Indian Institute of Science; 2012. [cited 2019 Jul 17]. Available from: http://etd.iisc.ernet.in/handle/2005/2341 ; http://etd.ncsi.iisc.ernet.in/abstracts/3012/G25330-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bhattacharyya M. Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph Theory. [Thesis]. Indian Institute of Science; 2012. Available from: http://etd.iisc.ernet.in/handle/2005/2341 ; http://etd.ncsi.iisc.ernet.in/abstracts/3012/G25330-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. -6009-0787. Characterization and prediction of residues forming functional protein-protein interfaces using network analysis.

Degree: PhD, Molecular Biology, 2017, Texas Woman's University

 Characterization of protein-protein interfaces can provide understanding of the fundamental properties of their functionality. Additionally, such understanding aids functional annotation of the interfaces and prediction… (more)

Subjects/Keywords: Protein-protein interactions; Network analysis; Centrality; Degree centrality; Closeness centrality; Betweenness centrality; Protein structure graphs; Residue interaction network; Classification; Protein interfaces; Computational biology; Interface organization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-6009-0787. (2017). Characterization and prediction of residues forming functional protein-protein interfaces using network analysis. (Doctoral Dissertation). Texas Woman's University. Retrieved from http://hdl.handle.net/11274/9779

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6009-0787. “Characterization and prediction of residues forming functional protein-protein interfaces using network analysis.” 2017. Doctoral Dissertation, Texas Woman's University. Accessed July 17, 2019. http://hdl.handle.net/11274/9779.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6009-0787. “Characterization and prediction of residues forming functional protein-protein interfaces using network analysis.” 2017. Web. 17 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6009-0787. Characterization and prediction of residues forming functional protein-protein interfaces using network analysis. [Internet] [Doctoral dissertation]. Texas Woman's University; 2017. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/11274/9779.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6009-0787. Characterization and prediction of residues forming functional protein-protein interfaces using network analysis. [Doctoral Dissertation]. Texas Woman's University; 2017. Available from: http://hdl.handle.net/11274/9779

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Texas Medical Center

18. LI, HUA. NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION.

Degree: PhD, 2010, Texas Medical Center

 High-throughput assays, such as yeast two-hybrid system, have generated a huge amount of protein-protein interaction (PPI) data in the past decade. This tremendously increases the… (more)

Subjects/Keywords: protein-protein interaction; network topology; common neighbors; functional prediction; pathway analysis; Bioinformatics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

LI, H. (2010). NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/93

Chicago Manual of Style (16th Edition):

LI, HUA. “NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION.” 2010. Doctoral Dissertation, Texas Medical Center. Accessed July 17, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/93.

MLA Handbook (7th Edition):

LI, HUA. “NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION.” 2010. Web. 17 Jul 2019.

Vancouver:

LI H. NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION. [Internet] [Doctoral dissertation]. Texas Medical Center; 2010. [cited 2019 Jul 17]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/93.

Council of Science Editors:

LI H. NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION. [Doctoral Dissertation]. Texas Medical Center; 2010. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/93


Texas A&M University

19. Su, Junjie. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.

Degree: 2012, Texas A&M University

 Finding reliable gene markers for accurate disease classification is very challenging due to a number of reasons, including the small sample size of typical clinical… (more)

Subjects/Keywords: cancer classification; pathway activity inference; subnetwork markers; Protein-Protein Interaction (PPI) network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Su, J. (2012). Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Su, Junjie. “Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.” 2012. Thesis, Texas A&M University. Accessed July 17, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Su, Junjie. “Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.” 2012. Web. 17 Jul 2019.

Vancouver:

Su J. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Su J. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cincinnati

20. Zhang, Minlu. Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery.

Degree: PhD, Engineering and Applied Science: Computer Science and Engineering, 2012, University of Cincinnati

  One of the most challenging problems in the post-genomic era for computer scientists and bioinformaticians is to identify meaningful patterns from a huge amount… (more)

Subjects/Keywords: Computer Science; network analysis; link prediction; transcriptional regulation; orphan disease; rare disease; protein-protein interaction

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APA (6th Edition):

Zhang, M. (2012). Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1330024618

Chicago Manual of Style (16th Edition):

Zhang, Minlu. “Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery.” 2012. Doctoral Dissertation, University of Cincinnati. Accessed July 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1330024618.

MLA Handbook (7th Edition):

Zhang, Minlu. “Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery.” 2012. Web. 17 Jul 2019.

Vancouver:

Zhang M. Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery. [Internet] [Doctoral dissertation]. University of Cincinnati; 2012. [cited 2019 Jul 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1330024618.

Council of Science Editors:

Zhang M. Discovery and Analysis of Patterns in Molecular Networks: Link Prediction, Network Analysis, and Applications to Novel Drug Target Discovery. [Doctoral Dissertation]. University of Cincinnati; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1330024618


University of Cincinnati

21. Chen, Jing. Computational Selection and Prioritization of Disease Candidate Genes.

Degree: PhD, Engineering : Biomedical Engineering, 2008, University of Cincinnati

  Identifying causal genes underlying susceptibility to human disease is a problem of primary importance in post-genomic era and current biomedical research. Recently, there has… (more)

Subjects/Keywords: Bioinformatics; candidate gene prioritization; bioinformatics; interactome; mouse phenotype; asthma; protein-protein interaction network; functional annotation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, J. (2008). Computational Selection and Prioritization of Disease Candidate Genes. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1211228557

Chicago Manual of Style (16th Edition):

Chen, Jing. “Computational Selection and Prioritization of Disease Candidate Genes.” 2008. Doctoral Dissertation, University of Cincinnati. Accessed July 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1211228557.

MLA Handbook (7th Edition):

Chen, Jing. “Computational Selection and Prioritization of Disease Candidate Genes.” 2008. Web. 17 Jul 2019.

Vancouver:

Chen J. Computational Selection and Prioritization of Disease Candidate Genes. [Internet] [Doctoral dissertation]. University of Cincinnati; 2008. [cited 2019 Jul 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1211228557.

Council of Science Editors:

Chen J. Computational Selection and Prioritization of Disease Candidate Genes. [Doctoral Dissertation]. University of Cincinnati; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1211228557


Johannes Gutenberg Universität Mainz

22. Wiebringhaus, Thomas. Topological aspects of the human protein interaction network.

Degree: 2008, Johannes Gutenberg Universität Mainz

It is currently widely accepted that the understanding of complex cell functions depends on an integrated network theoretical approach and not on an isolated view… (more)

Subjects/Keywords: Netzwerk; human; Protein; Interaktion; Network; human; protein; interaction; Natural sciences and mathematics

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APA (6th Edition):

Wiebringhaus, T. (2008). Topological aspects of the human protein interaction network. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2009/2158/

Chicago Manual of Style (16th Edition):

Wiebringhaus, Thomas. “Topological aspects of the human protein interaction network.” 2008. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed July 17, 2019. http://ubm.opus.hbz-nrw.de/volltexte/2009/2158/.

MLA Handbook (7th Edition):

Wiebringhaus, Thomas. “Topological aspects of the human protein interaction network.” 2008. Web. 17 Jul 2019.

Vancouver:

Wiebringhaus T. Topological aspects of the human protein interaction network. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2008. [cited 2019 Jul 17]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2009/2158/.

Council of Science Editors:

Wiebringhaus T. Topological aspects of the human protein interaction network. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2008. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2009/2158/


University of California – San Francisco

23. Oberdorf, Richard. The Role of Mass Balance and Gene Dosage in Protein Interaction Networks.

Degree: Biophysics, 2012, University of California – San Francisco

 This work presents two separate investigations based on a similar theme: that the topology ofprotein-protein interactions should in part be predictive of a protein's sensitivity… (more)

Subjects/Keywords: Biophysics; Balance Hypothesis; Dosage Sensitivity; Mass Action; Protein Complex; Protein Interaction Network; Topology

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APA (6th Edition):

Oberdorf, R. (2012). The Role of Mass Balance and Gene Dosage in Protein Interaction Networks. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/88j6m0rs

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Oberdorf, Richard. “The Role of Mass Balance and Gene Dosage in Protein Interaction Networks.” 2012. Thesis, University of California – San Francisco. Accessed July 17, 2019. http://www.escholarship.org/uc/item/88j6m0rs.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Oberdorf, Richard. “The Role of Mass Balance and Gene Dosage in Protein Interaction Networks.” 2012. Web. 17 Jul 2019.

Vancouver:

Oberdorf R. The Role of Mass Balance and Gene Dosage in Protein Interaction Networks. [Internet] [Thesis]. University of California – San Francisco; 2012. [cited 2019 Jul 17]. Available from: http://www.escholarship.org/uc/item/88j6m0rs.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oberdorf R. The Role of Mass Balance and Gene Dosage in Protein Interaction Networks. [Thesis]. University of California – San Francisco; 2012. Available from: http://www.escholarship.org/uc/item/88j6m0rs

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Kansas

24. Liu, Mei. Discovering Domain-Domain Interactions toward Genome-Wide Protein Interaction and Function Predictions.

Degree: PhD, Electrical Engineering & Computer Science, 2009, University of Kansas

 To fully understand the underlying mechanisms of living cells, it is essential to delineate the intricate interactions between the cell proteins at a genome scale.… (more)

Subjects/Keywords: Computer science; Biology; Bioinformatics; Data mining; Domain interaction network; Machine learning; Protein function; Protein interaction network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, M. (2009). Discovering Domain-Domain Interactions toward Genome-Wide Protein Interaction and Function Predictions. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/5449

Chicago Manual of Style (16th Edition):

Liu, Mei. “Discovering Domain-Domain Interactions toward Genome-Wide Protein Interaction and Function Predictions.” 2009. Doctoral Dissertation, University of Kansas. Accessed July 17, 2019. http://hdl.handle.net/1808/5449.

MLA Handbook (7th Edition):

Liu, Mei. “Discovering Domain-Domain Interactions toward Genome-Wide Protein Interaction and Function Predictions.” 2009. Web. 17 Jul 2019.

Vancouver:

Liu M. Discovering Domain-Domain Interactions toward Genome-Wide Protein Interaction and Function Predictions. [Internet] [Doctoral dissertation]. University of Kansas; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1808/5449.

Council of Science Editors:

Liu M. Discovering Domain-Domain Interactions toward Genome-Wide Protein Interaction and Function Predictions. [Doctoral Dissertation]. University of Kansas; 2009. Available from: http://hdl.handle.net/1808/5449


University of Wisconsin – Milwaukee

25. Zhang, Qing. Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation.

Degree: PhD, Engineering, 2014, University of Wisconsin – Milwaukee

  With the rapid development of digitalized literature, more and more knowledge has been discovered by computational approaches. This thesis addresses the problem of link… (more)

Subjects/Keywords: Citation Network; Conditional Random Fields; Graph Analysis; Machine Learning; Protein-protein Interaction; Social Network; Computer Sciences; Sociology; Statistics and Probability

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APA (6th Edition):

Zhang, Q. (2014). Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/786

Chicago Manual of Style (16th Edition):

Zhang, Qing. “Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation.” 2014. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed July 17, 2019. https://dc.uwm.edu/etd/786.

MLA Handbook (7th Edition):

Zhang, Qing. “Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation.” 2014. Web. 17 Jul 2019.

Vancouver:

Zhang Q. Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2014. [cited 2019 Jul 17]. Available from: https://dc.uwm.edu/etd/786.

Council of Science Editors:

Zhang Q. Complex Network Analysis for Scientific Collaboration Prediction and Biological Hypothesis Generation. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2014. Available from: https://dc.uwm.edu/etd/786


University of Western Ontario

26. Ahmed, Muhammad S. SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions.

Degree: 2017, University of Western Ontario

 The study of protein-protein interactions (PPI) is critically important within the field of Molecular Biology, as proteins facilitate key organismal functions including the maintenance of… (more)

Subjects/Keywords: Machine Learning; Protein-Protein Interactions; PPI; Protein Signature; Deep Neural Network; Artificial Intelligence and Robotics; Bioinformatics

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APA (6th Edition):

Ahmed, M. S. (2017). SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ahmed, Muhammad S. “SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions.” 2017. Thesis, University of Western Ontario. Accessed July 17, 2019. https://ir.lib.uwo.ca/etd/4889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ahmed, Muhammad S. “SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions.” 2017. Web. 17 Jul 2019.

Vancouver:

Ahmed MS. SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2019 Jul 17]. Available from: https://ir.lib.uwo.ca/etd/4889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ahmed MS. SIGNET: A Neural Network Architecture for Predicting Protein-Protein Interactions. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

27. Wang, Ying. Optimal Hydrophobic and Polar Interaction Models for Protein Inverse Folding Problem.

Degree: 2012, University of Illinois – Chicago

Protein inverse folding problem is a natural inverse problem to protein structure prediction: given a target structure in three dimensions, we desire to design an… (more)

Subjects/Keywords: protein folding; protein inverse folding; optimal sequences; optimization problem; fitness function; hydrophobic and polar monomers; flow network; linear programming; protein design

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APA (6th Edition):

Wang, Y. (2012). Optimal Hydrophobic and Polar Interaction Models for Protein Inverse Folding Problem. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9094

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Ying. “Optimal Hydrophobic and Polar Interaction Models for Protein Inverse Folding Problem.” 2012. Thesis, University of Illinois – Chicago. Accessed July 17, 2019. http://hdl.handle.net/10027/9094.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Ying. “Optimal Hydrophobic and Polar Interaction Models for Protein Inverse Folding Problem.” 2012. Web. 17 Jul 2019.

Vancouver:

Wang Y. Optimal Hydrophobic and Polar Interaction Models for Protein Inverse Folding Problem. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/10027/9094.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Optimal Hydrophobic and Polar Interaction Models for Protein Inverse Folding Problem. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9094

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Notre Dame

28. Vipin Vijayan. Novel Algorithmic Contributions and Evaluation Frameworks for Network Alignment with Applications in Computational Biology</h1>.

Degree: PhD, Computer Science and Engineering, 2017, University of Notre Dame

  Networks are used to model a wide variety of real-world systems. Network alignment (NA) aims to find a node mapping between networks that identifies… (more)

Subjects/Keywords: Network science; Network alignment; Network analysis; Data science; Bioinformatics; Computer science; Protein interaction networks; Temporal networks; Dynamic networks

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APA (6th Edition):

Vijayan, V. (2017). Novel Algorithmic Contributions and Evaluation Frameworks for Network Alignment with Applications in Computational Biology</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/tq57np21r75

Chicago Manual of Style (16th Edition):

Vijayan, Vipin. “Novel Algorithmic Contributions and Evaluation Frameworks for Network Alignment with Applications in Computational Biology</h1>.” 2017. Doctoral Dissertation, University of Notre Dame. Accessed July 17, 2019. https://curate.nd.edu/show/tq57np21r75.

MLA Handbook (7th Edition):

Vijayan, Vipin. “Novel Algorithmic Contributions and Evaluation Frameworks for Network Alignment with Applications in Computational Biology</h1>.” 2017. Web. 17 Jul 2019.

Vancouver:

Vijayan V. Novel Algorithmic Contributions and Evaluation Frameworks for Network Alignment with Applications in Computational Biology</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2017. [cited 2019 Jul 17]. Available from: https://curate.nd.edu/show/tq57np21r75.

Council of Science Editors:

Vijayan V. Novel Algorithmic Contributions and Evaluation Frameworks for Network Alignment with Applications in Computational Biology</h1>. [Doctoral Dissertation]. University of Notre Dame; 2017. Available from: https://curate.nd.edu/show/tq57np21r75


University of Utah

29. Brereton, Melissa Diane Stuchell. The protein network of HIV-1 budding.

Degree: PhD, Biochemistry, 2010, University of Utah

 HIV-1 is an enveloped RNA virus that recruits cellular machinery to facilitate virus budding. HIV-1 Gag, the structural protein that drives the assembly and budding… (more)

Subjects/Keywords: HIV-1; Human ESCRT pathway; Virus budding; Protein network:

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brereton, M. D. S. (2010). The protein network of HIV-1 budding. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/235/rec/2634

Chicago Manual of Style (16th Edition):

Brereton, Melissa Diane Stuchell. “The protein network of HIV-1 budding.” 2010. Doctoral Dissertation, University of Utah. Accessed July 17, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/235/rec/2634.

MLA Handbook (7th Edition):

Brereton, Melissa Diane Stuchell. “The protein network of HIV-1 budding.” 2010. Web. 17 Jul 2019.

Vancouver:

Brereton MDS. The protein network of HIV-1 budding. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2019 Jul 17]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/235/rec/2634.

Council of Science Editors:

Brereton MDS. The protein network of HIV-1 budding. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/235/rec/2634


Universiteit Utrecht

30. Long, Y. Transcription factor movement and tissue patterning in Arabidopsis root meristem.

Degree: 2015, Universiteit Utrecht

 Cell-cell communication is key to coordinated cellular functions in multicellular organisms. In addition to the signaling molecules found in animals, plants also frequently recruit mobile… (more)

Subjects/Keywords: tissue boundary; cell fate; transcriptional network; proten interaction; protein movement

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Long, Y. (2015). Transcription factor movement and tissue patterning in Arabidopsis root meristem. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/320600

Chicago Manual of Style (16th Edition):

Long, Y. “Transcription factor movement and tissue patterning in Arabidopsis root meristem.” 2015. Doctoral Dissertation, Universiteit Utrecht. Accessed July 17, 2019. http://dspace.library.uu.nl:8080/handle/1874/320600.

MLA Handbook (7th Edition):

Long, Y. “Transcription factor movement and tissue patterning in Arabidopsis root meristem.” 2015. Web. 17 Jul 2019.

Vancouver:

Long Y. Transcription factor movement and tissue patterning in Arabidopsis root meristem. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2015. [cited 2019 Jul 17]. Available from: http://dspace.library.uu.nl:8080/handle/1874/320600.

Council of Science Editors:

Long Y. Transcription factor movement and tissue patterning in Arabidopsis root meristem. [Doctoral Dissertation]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/320600

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