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You searched for subject:(biological motifs). Showing records 1 – 5 of 5 total matches.

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1. TRAN NGOC HIEU. Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data.

Degree: 2013, National University of Singapore

Subjects/Keywords: biological networks; motifs; subnetwork

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

APA (6th Edition):

HIEU, T. N. (2013). Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/47504

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):

HIEU, TRAN NGOC. “Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data.” 2013. Thesis, National University of Singapore. Accessed March 06, 2021. http://scholarbank.nus.edu.sg/handle/10635/47504.

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

MLA Handbook (7th Edition):

HIEU, TRAN NGOC. “Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data.” 2013. Web. 06 Mar 2021.

Vancouver:

HIEU TN. Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2021 Mar 06]. Available from: http://scholarbank.nus.edu.sg/handle/10635/47504.

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

Council of Science Editors:

HIEU TN. Asymptotically unbiased and consistent estimation of motif counts in biological networks from noisy subnetwork data. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/47504

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


University of Colorado

2. Char, Ian Guo-fan. Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings.

Degree: MS, 2018, University of Colorado

  In many applications, the need arises to search a text for appearances of a given set of keywords. As an example, in bioinformatics one… (more)

Subjects/Keywords: aho-corasick automaton; biological motifs; deterministic finite automata; generalized strings; stochastic analysis; Applied Mathematics; Computer Sciences

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

APA (6th Edition):

Char, I. G. (2018). Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/115

Chicago Manual of Style (16th Edition):

Char, Ian Guo-fan. “Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings.” 2018. Masters Thesis, University of Colorado. Accessed March 06, 2021. https://scholar.colorado.edu/appm_gradetds/115.

MLA Handbook (7th Edition):

Char, Ian Guo-fan. “Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings.” 2018. Web. 06 Mar 2021.

Vancouver:

Char IG. Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Mar 06]. Available from: https://scholar.colorado.edu/appm_gradetds/115.

Council of Science Editors:

Char IG. Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/115


Missouri University of Science and Technology

3. Roy, Satyaki. Structure and topology of transcriptional regulatory networks and their applications in bio-inspired networking.

Degree: PhD, Computer Science, Missouri University of Science and Technology

  "Biological networks carry out vital functions necessary for sustenance despite environmental adversities. Transcriptional Regulatory Network (TRN) is one such biological network that is formed… (more)

Subjects/Keywords: Biological Networks; Energy-Efficiency; Motifs; Network Science; Robustness; Topology Control; Computer Sciences

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

APA (6th Edition):

Roy, S. (n.d.). Structure and topology of transcriptional regulatory networks and their applications in bio-inspired networking. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/doctoral_dissertations/2846

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Roy, Satyaki. “Structure and topology of transcriptional regulatory networks and their applications in bio-inspired networking.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed March 06, 2021. https://scholarsmine.mst.edu/doctoral_dissertations/2846.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Roy, Satyaki. “Structure and topology of transcriptional regulatory networks and their applications in bio-inspired networking.” Web. 06 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Roy S. Structure and topology of transcriptional regulatory networks and their applications in bio-inspired networking. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2021 Mar 06]. Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2846.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Roy S. Structure and topology of transcriptional regulatory networks and their applications in bio-inspired networking. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2846

Note: this citation may be lacking information needed for this citation format:
No year of publication.

4. Grac, Corinne. Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières : Temporal data mining of physicochemical and biological indicators to evaluate the state, the pressures and the resilience capacity of rivers.

Degree: Docteur es, Géochimie, 2019, Université de Strasbourg

Les données issues de la surveillance des rivières sont volumineuses, avec des relations complexes. Des méthodes de fouille de données non supervisées peuvent s’y appliquer… (more)

Subjects/Keywords: Rivière; Pressions physico-chimiques; Indices biologiques; Macro-invertébrés; Poissons; Diatomées; Macrophytes; État écologique; Directive Cadre européenne sur l’Eau; Pluridisciplinarité; Fouille de données; Motifs temporels; Rivers; Physico-chemical pressures; Biological indices; Macroinvertebrates; Fish; Diatoms; Macrophytes; Ecological status; European Water Framework Directive; Pluridisciplinarity; Data mining; Temporal patterns; 551.9; 577.64

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

APA (6th Edition):

Grac, C. (2019). Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières : Temporal data mining of physicochemical and biological indicators to evaluate the state, the pressures and the resilience capacity of rivers. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2019STRAH015

Chicago Manual of Style (16th Edition):

Grac, Corinne. “Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières : Temporal data mining of physicochemical and biological indicators to evaluate the state, the pressures and the resilience capacity of rivers.” 2019. Doctoral Dissertation, Université de Strasbourg. Accessed March 06, 2021. http://www.theses.fr/2019STRAH015.

MLA Handbook (7th Edition):

Grac, Corinne. “Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières : Temporal data mining of physicochemical and biological indicators to evaluate the state, the pressures and the resilience capacity of rivers.” 2019. Web. 06 Mar 2021.

Vancouver:

Grac C. Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières : Temporal data mining of physicochemical and biological indicators to evaluate the state, the pressures and the resilience capacity of rivers. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2019. [cited 2021 Mar 06]. Available from: http://www.theses.fr/2019STRAH015.

Council of Science Editors:

Grac C. Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières : Temporal data mining of physicochemical and biological indicators to evaluate the state, the pressures and the resilience capacity of rivers. [Doctoral Dissertation]. Université de Strasbourg; 2019. Available from: http://www.theses.fr/2019STRAH015


Universitat Pompeu Fabra

5. Aragüés Peleato, Ramón. Protein Interaction networks and their applications to protein characterization and cancer genes prediction.

Degree: Departament de Ciències Experimentals i de la Salut, 2007, Universitat Pompeu Fabra

 The importance of understanding cellular processes prompted the development of experimental approaches that detect protein-protein interactions. Here, we describe a software platform called PIANA (Protein… (more)

Subjects/Keywords: differential expression studies; cancer gene prediction; essential proteins; hub proteins; interacting motifs; PIANA; biological data integration; protein Interaction Networks; expresión diferenciada; predicción de genes envueltos en cáncer; proteínas esenciales; proteínas hub; motivos de interacción; PIANA; integración datos biológicos; redes de interacción proteicas; 575; 576; 616

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

APA (6th Edition):

Aragüés Peleato, R. (2007). Protein Interaction networks and their applications to protein characterization and cancer genes prediction. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/7148

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):

Aragüés Peleato, Ramón. “Protein Interaction networks and their applications to protein characterization and cancer genes prediction.” 2007. Thesis, Universitat Pompeu Fabra. Accessed March 06, 2021. http://hdl.handle.net/10803/7148.

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

MLA Handbook (7th Edition):

Aragüés Peleato, Ramón. “Protein Interaction networks and their applications to protein characterization and cancer genes prediction.” 2007. Web. 06 Mar 2021.

Vancouver:

Aragüés Peleato R. Protein Interaction networks and their applications to protein characterization and cancer genes prediction. [Internet] [Thesis]. Universitat Pompeu Fabra; 2007. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10803/7148.

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

Council of Science Editors:

Aragüés Peleato R. Protein Interaction networks and their applications to protein characterization and cancer genes prediction. [Thesis]. Universitat Pompeu Fabra; 2007. Available from: http://hdl.handle.net/10803/7148

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

.