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You searched for +publisher:"University of North Carolina" +contributor:("Wang, Wei"). Showing records 1 – 16 of 16 total matches.

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University of North Carolina

1. Mahalingam, Deepika. From temporal expressions to symptom onset date identification in emergency department notes: a temporal information extraction process.

Degree: Computer Science, 2011, University of North Carolina

 A patient's visit to the Emergency Department (ED) starts with the triage nurse making a note of the patient's account of the reason for the… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Mahalingam, D. (2011). From temporal expressions to symptom onset date identification in emergency department notes: a temporal information extraction process. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:8b6ae6f7-411f-4ce4-9a6f-45bbcf21d395

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):

Mahalingam, Deepika. “From temporal expressions to symptom onset date identification in emergency department notes: a temporal information extraction process.” 2011. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:8b6ae6f7-411f-4ce4-9a6f-45bbcf21d395.

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

MLA Handbook (7th Edition):

Mahalingam, Deepika. “From temporal expressions to symptom onset date identification in emergency department notes: a temporal information extraction process.” 2011. Web. 13 Apr 2021.

Vancouver:

Mahalingam D. From temporal expressions to symptom onset date identification in emergency department notes: a temporal information extraction process. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:8b6ae6f7-411f-4ce4-9a6f-45bbcf21d395.

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

Council of Science Editors:

Mahalingam D. From temporal expressions to symptom onset date identification in emergency department notes: a temporal information extraction process. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:8b6ae6f7-411f-4ce4-9a6f-45bbcf21d395

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


University of North Carolina

2. Zhang, Xiang. Efficient algorithms for detecting genetic interactions in genome-wide association study.

Degree: Computer Science, 2011, University of North Carolina

 Genome-wide association study (GWAS) aims to find genetic factors underlying complex phenotypic traits, for which epistasis or gene-gene interaction detection is often preferred over a… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Zhang, X. (2011). Efficient algorithms for detecting genetic interactions in genome-wide association study. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:7cda3a34-17e9-4073-9413-491e5c28a645

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):

Zhang, Xiang. “Efficient algorithms for detecting genetic interactions in genome-wide association study.” 2011. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:7cda3a34-17e9-4073-9413-491e5c28a645.

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

MLA Handbook (7th Edition):

Zhang, Xiang. “Efficient algorithms for detecting genetic interactions in genome-wide association study.” 2011. Web. 13 Apr 2021.

Vancouver:

Zhang X. Efficient algorithms for detecting genetic interactions in genome-wide association study. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:7cda3a34-17e9-4073-9413-491e5c28a645.

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

Council of Science Editors:

Zhang X. Efficient algorithms for detecting genetic interactions in genome-wide association study. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:7cda3a34-17e9-4073-9413-491e5c28a645

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


University of North Carolina

3. Jin, Ning. Discriminative Subgraph Pattern Mining and Its Applications.

Degree: Computer Science, 2012, University of North Carolina

 My dissertation concentrates on two problems in mining discriminative subgraphs: how to efficiently identify subgraph patterns that discriminate two sets of graphs and how to… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Jin, N. (2012). Discriminative Subgraph Pattern Mining and Its Applications. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:005a4664-fd77-435a-b458-c56daf932cd4

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):

Jin, Ning. “Discriminative Subgraph Pattern Mining and Its Applications.” 2012. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:005a4664-fd77-435a-b458-c56daf932cd4.

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

MLA Handbook (7th Edition):

Jin, Ning. “Discriminative Subgraph Pattern Mining and Its Applications.” 2012. Web. 13 Apr 2021.

Vancouver:

Jin N. Discriminative Subgraph Pattern Mining and Its Applications. [Internet] [Thesis]. University of North Carolina; 2012. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:005a4664-fd77-435a-b458-c56daf932cd4.

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

Council of Science Editors:

Jin N. Discriminative Subgraph Pattern Mining and Its Applications. [Thesis]. University of North Carolina; 2012. Available from: https://cdr.lib.unc.edu/record/uuid:005a4664-fd77-435a-b458-c56daf932cd4

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


University of North Carolina

4. Liu, Yi. Fast and Accurate Haplotype Inference with Hidden Markov Model.

Degree: Computer Science, 2013, University of North Carolina

 The genome of human and other diploid organisms consists of paired chromosomes. The haplotype information (DNA constellation on one single chromosome), which is crucial for… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Liu, Y. (2013). Fast and Accurate Haplotype Inference with Hidden Markov Model. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:45b26b39-77f7-4f52-b633-4b3396446583

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):

Liu, Yi. “Fast and Accurate Haplotype Inference with Hidden Markov Model.” 2013. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:45b26b39-77f7-4f52-b633-4b3396446583.

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

MLA Handbook (7th Edition):

Liu, Yi. “Fast and Accurate Haplotype Inference with Hidden Markov Model.” 2013. Web. 13 Apr 2021.

Vancouver:

Liu Y. Fast and Accurate Haplotype Inference with Hidden Markov Model. [Internet] [Thesis]. University of North Carolina; 2013. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:45b26b39-77f7-4f52-b633-4b3396446583.

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

Council of Science Editors:

Liu Y. Fast and Accurate Haplotype Inference with Hidden Markov Model. [Thesis]. University of North Carolina; 2013. Available from: https://cdr.lib.unc.edu/record/uuid:45b26b39-77f7-4f52-b633-4b3396446583

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


University of North Carolina

5. Cheng, Wei. Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data.

Degree: Computer Science, 2015, University of North Carolina

 As a promising tool for dissecting the genetic basis of common diseases, expression quantitative trait loci (eQTL) study has attracted increasing research interest. Traditional eQTL… (more)

Subjects/Keywords: Computer science; Bioinformatics; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Cheng, W. (2015). Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:a970ec3e-47e9-4603-b2dc-f6f2a8300847

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):

Cheng, Wei. “Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data.” 2015. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:a970ec3e-47e9-4603-b2dc-f6f2a8300847.

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

MLA Handbook (7th Edition):

Cheng, Wei. “Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data.” 2015. Web. 13 Apr 2021.

Vancouver:

Cheng W. Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:a970ec3e-47e9-4603-b2dc-f6f2a8300847.

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

Council of Science Editors:

Cheng W. Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:a970ec3e-47e9-4603-b2dc-f6f2a8300847

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


University of North Carolina

6. Huang, Shunping. Correcting Reference Bias in High-throughput Sequencing Analysis.

Degree: Computer Science, 2015, University of North Carolina

 Mapping reads to a reference sequence is a common step when analyzing high throughput sequencing data. The choice of reference is critical because its effect… (more)

Subjects/Keywords: Computer science; Bioinformatics; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Huang, S. (2015). Correcting Reference Bias in High-throughput Sequencing Analysis. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:44569641-9dd5-4305-845a-4b0b847f0b4a

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):

Huang, Shunping. “Correcting Reference Bias in High-throughput Sequencing Analysis.” 2015. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:44569641-9dd5-4305-845a-4b0b847f0b4a.

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

MLA Handbook (7th Edition):

Huang, Shunping. “Correcting Reference Bias in High-throughput Sequencing Analysis.” 2015. Web. 13 Apr 2021.

Vancouver:

Huang S. Correcting Reference Bias in High-throughput Sequencing Analysis. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:44569641-9dd5-4305-845a-4b0b847f0b4a.

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

Council of Science Editors:

Huang S. Correcting Reference Bias in High-throughput Sequencing Analysis. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:44569641-9dd5-4305-845a-4b0b847f0b4a

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


University of North Carolina

7. Wang, Weibo. Detect Copy Number Variations from Read-depth of High-throughput Sequencing Data.

Degree: Computer Science, 2015, University of North Carolina

 Copy-number variation (CNV) is a major form of genetic variation and a risk factor for various human diseases, so it is crucial to accurately detect… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Wang, W. (2015). Detect Copy Number Variations from Read-depth of High-throughput Sequencing Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:85f9311f-12ae-4a19-97c2-6f4c879a2eb3

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, Weibo. “Detect Copy Number Variations from Read-depth of High-throughput Sequencing Data.” 2015. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:85f9311f-12ae-4a19-97c2-6f4c879a2eb3.

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

MLA Handbook (7th Edition):

Wang, Weibo. “Detect Copy Number Variations from Read-depth of High-throughput Sequencing Data.” 2015. Web. 13 Apr 2021.

Vancouver:

Wang W. Detect Copy Number Variations from Read-depth of High-throughput Sequencing Data. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:85f9311f-12ae-4a19-97c2-6f4c879a2eb3.

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

Council of Science Editors:

Wang W. Detect Copy Number Variations from Read-depth of High-throughput Sequencing Data. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:85f9311f-12ae-4a19-97c2-6f4c879a2eb3

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


University of North Carolina

8. Carter, Jason. Automatic Difficulty Detection.

Degree: Computer Science, 2014, University of North Carolina

 Previous work has suggested that the productivity of developers increases when they help each other and as distance increases, help is offered less. One way… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Carter, J. (2014). Automatic Difficulty Detection. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25

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):

Carter, Jason. “Automatic Difficulty Detection.” 2014. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25.

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

MLA Handbook (7th Edition):

Carter, Jason. “Automatic Difficulty Detection.” 2014. Web. 13 Apr 2021.

Vancouver:

Carter J. Automatic Difficulty Detection. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25.

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

Council of Science Editors:

Carter J. Automatic Difficulty Detection. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:a7dcfe9b-f509-4715-85a0-e167b4976c25

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


University of North Carolina

9. Zhang, Zhaojun. Efficient Computational Genetics Methods for Multiparent Crosses.

Degree: Computer Science, 2014, University of North Carolina

 Multiparent crosses are genetic populations bred in a controlled manner from a finite number of known founders. They represent experimental resources that are of potentially… (more)

Subjects/Keywords: Computer science; College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Zhang, Z. (2014). Efficient Computational Genetics Methods for Multiparent Crosses. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:81496805-1c98-4416-a013-efb7fba8ee15

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):

Zhang, Zhaojun. “Efficient Computational Genetics Methods for Multiparent Crosses.” 2014. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:81496805-1c98-4416-a013-efb7fba8ee15.

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

MLA Handbook (7th Edition):

Zhang, Zhaojun. “Efficient Computational Genetics Methods for Multiparent Crosses.” 2014. Web. 13 Apr 2021.

Vancouver:

Zhang Z. Efficient Computational Genetics Methods for Multiparent Crosses. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:81496805-1c98-4416-a013-efb7fba8ee15.

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

Council of Science Editors:

Zhang Z. Efficient Computational Genetics Methods for Multiparent Crosses. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:81496805-1c98-4416-a013-efb7fba8ee15

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


University of North Carolina

10. Welsh, Catherine. Computational Tools to Aid the Design and Development of a Genetic Reference Population.

Degree: Computer Science, 2014, University of North Carolina

 Model organisms are important tools used in biological and medical research. A key component of a genetics model organism is a known and reproducible genome.… (more)

Subjects/Keywords: Computer science; Bioinformatics; College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Welsh, C. (2014). Computational Tools to Aid the Design and Development of a Genetic Reference Population. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:34f1001c-bc13-492c-9782-479dc0d4e987

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):

Welsh, Catherine. “Computational Tools to Aid the Design and Development of a Genetic Reference Population.” 2014. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:34f1001c-bc13-492c-9782-479dc0d4e987.

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

MLA Handbook (7th Edition):

Welsh, Catherine. “Computational Tools to Aid the Design and Development of a Genetic Reference Population.” 2014. Web. 13 Apr 2021.

Vancouver:

Welsh C. Computational Tools to Aid the Design and Development of a Genetic Reference Population. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:34f1001c-bc13-492c-9782-479dc0d4e987.

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

Council of Science Editors:

Welsh C. Computational Tools to Aid the Design and Development of a Genetic Reference Population. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:34f1001c-bc13-492c-9782-479dc0d4e987

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


University of North Carolina

11. Xie, Yuying. ROLE OF EPIDERMAL GROWTH FACTOR RECEPTOR ON CARDIAC FUNCTION.

Degree: 2015, University of North Carolina

 The epidermal growth factor receptor (EGFR/ERBB1) was the first discovered member of the ERBB family of tyrosine kinas receptors that includes ERBB2, ERBB3 and ERBB4.… (more)

Subjects/Keywords: Genetics; Molecular biology; Biology; School of Medicine; Curriculum in Genetics and Molecular Biology

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APA (6th Edition):

Xie, Y. (2015). ROLE OF EPIDERMAL GROWTH FACTOR RECEPTOR ON CARDIAC FUNCTION. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:90236d9f-a0fa-47de-b9c5-08d4a2dfe021

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):

Xie, Yuying. “ROLE OF EPIDERMAL GROWTH FACTOR RECEPTOR ON CARDIAC FUNCTION.” 2015. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:90236d9f-a0fa-47de-b9c5-08d4a2dfe021.

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

MLA Handbook (7th Edition):

Xie, Yuying. “ROLE OF EPIDERMAL GROWTH FACTOR RECEPTOR ON CARDIAC FUNCTION.” 2015. Web. 13 Apr 2021.

Vancouver:

Xie Y. ROLE OF EPIDERMAL GROWTH FACTOR RECEPTOR ON CARDIAC FUNCTION. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:90236d9f-a0fa-47de-b9c5-08d4a2dfe021.

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

Council of Science Editors:

Xie Y. ROLE OF EPIDERMAL GROWTH FACTOR RECEPTOR ON CARDIAC FUNCTION. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:90236d9f-a0fa-47de-b9c5-08d4a2dfe021

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


University of North Carolina

12. Pan, Feng. Efficient algorithms in analyzing genomic data.

Degree: Computer Science, 2009, University of North Carolina

 With the development of high-throughput and low-cost genotyping technologies, immense data can be cheaply and efficiently produced for various genetic studies. A typical dataset may… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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APA (6th Edition):

Pan, F. (2009). Efficient algorithms in analyzing genomic data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:5ee3a021-169a-4cad-8c28-ab4b36444fe7

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):

Pan, Feng. “Efficient algorithms in analyzing genomic data.” 2009. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:5ee3a021-169a-4cad-8c28-ab4b36444fe7.

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

MLA Handbook (7th Edition):

Pan, Feng. “Efficient algorithms in analyzing genomic data.” 2009. Web. 13 Apr 2021.

Vancouver:

Pan F. Efficient algorithms in analyzing genomic data. [Internet] [Thesis]. University of North Carolina; 2009. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:5ee3a021-169a-4cad-8c28-ab4b36444fe7.

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

Council of Science Editors:

Pan F. Efficient algorithms in analyzing genomic data. [Thesis]. University of North Carolina; 2009. Available from: https://cdr.lib.unc.edu/record/uuid:5ee3a021-169a-4cad-8c28-ab4b36444fe7

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


University of North Carolina

13. Liu, Jinze. New approaches for clustering high dimensional data.

Degree: Computer Science, 2006, University of North Carolina

 Clustering is one of the most effective methods for analyzing datasets that contain a large number of objects with numerous attributes. Clustering seeks to identify… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Liu, J. (2006). New approaches for clustering high dimensional data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:271efd94-bcf7-42bf-8f28-bde7215cba6f

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):

Liu, Jinze. “New approaches for clustering high dimensional data.” 2006. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:271efd94-bcf7-42bf-8f28-bde7215cba6f.

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

MLA Handbook (7th Edition):

Liu, Jinze. “New approaches for clustering high dimensional data.” 2006. Web. 13 Apr 2021.

Vancouver:

Liu J. New approaches for clustering high dimensional data. [Internet] [Thesis]. University of North Carolina; 2006. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:271efd94-bcf7-42bf-8f28-bde7215cba6f.

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

Council of Science Editors:

Liu J. New approaches for clustering high dimensional data. [Thesis]. University of North Carolina; 2006. Available from: https://cdr.lib.unc.edu/record/uuid:271efd94-bcf7-42bf-8f28-bde7215cba6f

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


University of North Carolina

14. Huan, Jun. Graph based pattern discovery in protein structures.

Degree: Computer Science, 2006, University of North Carolina

 The rapidly growing body of 3D protein structure data provides new opportunities to study the relation between protein structure and protein function. Local structure pattern… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Huan, J. (2006). Graph based pattern discovery in protein structures. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d4543b81-3017-4d83-92ff-25a818af5386

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):

Huan, Jun. “Graph based pattern discovery in protein structures.” 2006. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:d4543b81-3017-4d83-92ff-25a818af5386.

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

MLA Handbook (7th Edition):

Huan, Jun. “Graph based pattern discovery in protein structures.” 2006. Web. 13 Apr 2021.

Vancouver:

Huan J. Graph based pattern discovery in protein structures. [Internet] [Thesis]. University of North Carolina; 2006. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:d4543b81-3017-4d83-92ff-25a818af5386.

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

Council of Science Editors:

Huan J. Graph based pattern discovery in protein structures. [Thesis]. University of North Carolina; 2006. Available from: https://cdr.lib.unc.edu/record/uuid:d4543b81-3017-4d83-92ff-25a818af5386

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


University of North Carolina

15. Wang, Wei. Electron transport dynamics in room temperature redox molten salts and chemistry of monolayerprotected AU nanoparticles.

Degree: Chemistry, 2006, University of North Carolina

 Chapter One briefly introduces the basics of redox molten salts and monolayer-protected Au nanoparticles. Chapter Two examines the mass transport of counterions in molten salts… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Chemistry

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

APA (6th Edition):

Wang, W. (2006). Electron transport dynamics in room temperature redox molten salts and chemistry of monolayerprotected AU nanoparticles. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:3867518b-4a1c-45f5-8f9b-dfc4f72ee30c

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, Wei. “Electron transport dynamics in room temperature redox molten salts and chemistry of monolayerprotected AU nanoparticles.” 2006. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:3867518b-4a1c-45f5-8f9b-dfc4f72ee30c.

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

MLA Handbook (7th Edition):

Wang, Wei. “Electron transport dynamics in room temperature redox molten salts and chemistry of monolayerprotected AU nanoparticles.” 2006. Web. 13 Apr 2021.

Vancouver:

Wang W. Electron transport dynamics in room temperature redox molten salts and chemistry of monolayerprotected AU nanoparticles. [Internet] [Thesis]. University of North Carolina; 2006. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:3867518b-4a1c-45f5-8f9b-dfc4f72ee30c.

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

Council of Science Editors:

Wang W. Electron transport dynamics in room temperature redox molten salts and chemistry of monolayerprotected AU nanoparticles. [Thesis]. University of North Carolina; 2006. Available from: https://cdr.lib.unc.edu/record/uuid:3867518b-4a1c-45f5-8f9b-dfc4f72ee30c

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


University of North Carolina

16. Zhang, Qi. Mining emerging massive scientific sequence data using block-wise decomposition methods.

Degree: Computer Science, 2009, University of North Carolina

 I present efficient data mining algorithms for knowledge discovery on two types of emerging large-scale sequence-based scientific datasets: 1) static sequence data generated from SNP… (more)

Subjects/Keywords: College of Arts and Sciences; Department of Computer Science

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

APA (6th Edition):

Zhang, Q. (2009). Mining emerging massive scientific sequence data using block-wise decomposition methods. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:c5c13eda-230e-4cae-826e-e21af96ae55a

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):

Zhang, Qi. “Mining emerging massive scientific sequence data using block-wise decomposition methods.” 2009. Thesis, University of North Carolina. Accessed April 13, 2021. https://cdr.lib.unc.edu/record/uuid:c5c13eda-230e-4cae-826e-e21af96ae55a.

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

MLA Handbook (7th Edition):

Zhang, Qi. “Mining emerging massive scientific sequence data using block-wise decomposition methods.” 2009. Web. 13 Apr 2021.

Vancouver:

Zhang Q. Mining emerging massive scientific sequence data using block-wise decomposition methods. [Internet] [Thesis]. University of North Carolina; 2009. [cited 2021 Apr 13]. Available from: https://cdr.lib.unc.edu/record/uuid:c5c13eda-230e-4cae-826e-e21af96ae55a.

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

Council of Science Editors:

Zhang Q. Mining emerging massive scientific sequence data using block-wise decomposition methods. [Thesis]. University of North Carolina; 2009. Available from: https://cdr.lib.unc.edu/record/uuid:c5c13eda-230e-4cae-826e-e21af96ae55a

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

.