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POCUS: mining genomic sequence annotation to predict disease genes
Frances S Turner, Daniel R Clutterbuck, Colin AM Semple
Genome Biol. 2003; 4(11): R75. Published online 2003 October 10.
PMCID:
PMC329128
Abstract Full Text PDF–195K Supplementary Material

Is Cited by the Following 48 Articles in this Archive:

Analysis of genome-wide association study data using the protein knowledge base
Sara Ballouz, Jason Y Liu, Martin Oti, Bruno Gaeta, Diane Fatkin, Melanie Bahlo, Merridee A Wouters
BMC Genet. 2011; 12: 98. Published online 2011 November 13. doi: 10.1186/1471-2156-12-98
PMCID:
PMC3261104
Abstract Full Text PDF–830K Supplementary Material
Vavien: An Algorithm for Prioritizing Candidate Disease Genes Based on Topological Similarity of Proteins in Interaction Networks
Sinan Erten, Gurkan Bebek, Mehmet Koyutürk
J Comput Biol. 2011 November; 18(11): 1561–1574. doi: 10.1089/cmb.2011.0154
PMCID:
PMC3216100
Free in PMC on 2012/11/01
ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
Fantine Mordelet, Jean-Philippe Vert
BMC Bioinformatics. 2011; 12: 389. Published online 2011 October 6. doi: 10.1186/1471-2105-12-389
PMCID:
PMC3215680
Abstract Full Text PDF–932K
In Silico Gene Prioritization by Integrating Multiple Data Sources
Yixuan Chen, Wenhui Wang, Yingyao Zhou, Robert Shields, Sumit K. Chanda, Robert C. Elston, Jing Li
PLoS One. 2011; 6(6): e21137. Published online 2011 June 24. doi: 10.1371/journal.pone.0021137
PMCID:
PMC3123338
Abstract Full Text PDF–826K Supplementary Material
DADA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization
Sinan Erten, Gurkan Bebek, Rob M Ewing, Mehmet Koyutürk
BioData Min. 2011; 4: 19. Published online 2011 June 24. doi: 10.1186/1756-0381-4-19
PMCID:
PMC3143097
Abstract Full Text PDF–1.9M
Uncover disease genes by maximizing information flow in the phenome–interactome network
Yong Chen, Tao Jiang, Rui Jiang
Bioinformatics. 2011 July 1; 27(13): i167–i176. Published online 2011 June 14. doi: 10.1093/bioinformatics/btr213
PMCID:
PMC3117332
Abstract Full Text
An atlas of tissue-specific conserved coexpression for functional annotation and disease gene prediction
Rosario Michael Piro, Ugo Ala, Ivan Molineris, Elena Grassi, Chiara Bracco, Gian Paolo Perego, Paolo Provero, Ferdinando Di Cunto
Eur J Hum Genet. 2011 November; 19(11): 1173–1180. Published online 2011 June 8. doi: 10.1038/ejhg.2011.96
PMCID:
PMC3198151
Free in PMC on 2012/11/01
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Frank PY Lin, Stephen Anthony, Thomas M Polasek, Guy Tsafnat, Matthew P Doogue
BMC Bioinformatics. 2011; 12: 112. Published online 2011 April 21. doi: 10.1186/1471-2105-12-112
PMCID:
PMC3110144
Abstract Full Text PDF–487K Supplementary Material
DomainRBF: a Bayesian regression approach to the prioritization of candidate domains for complex diseases
Wangshu Zhang, Yong Chen, Fengzhu Sun, Rui Jiang
BMC Syst Biol. 2011; 5: 55. Published online 2011 April 19. doi: 10.1186/1752-0509-5-55
PMCID:
PMC3108930
Abstract Full Text PDF–3.0M Supplementary Material
Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach
Wangshu Zhang, Fengzhu Sun, Rui Jiang
BMC Bioinformatics. 2011; 12(Suppl 1): S11. Published online 2011 February 15. doi: 10.1186/1471-2105-12-S1-S11
PMCID:
PMC3044265
Abstract Full Text PDF–544K
A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data
Pedro R Costa, Marcio L Acencio, Ney Lemke
BMC Genomics. 2010; 11(Suppl 5): S9. Published online 2010 December 22. doi: 10.1186/1471-2164-11-S5-S9
PMCID:
PMC3045802
Abstract Full Text PDF–1.1M Supplementary Material
Candidate gene prioritization based on spatially mapped gene expression: an application to XLMR
Rosario M. Piro, Ivan Molineris, Ugo Ala, Paolo Provero, Ferdinando Di Cunto
Bioinformatics. 2010 September 15; 26(18): i618–i624. Published online 2010 September 4. doi: 10.1093/bioinformatics/btq396
PMCID:
PMC2935433
Abstract Full Text PDF–264K Supplementary Material
Improving disease gene prioritization using the semantic similarity of Gene Ontology terms
Andreas Schlicker, Thomas Lengauer, Mario Albrecht
Bioinformatics. 2010 September 15; 26(18): i561–i567. Published online 2010 September 4. doi: 10.1093/bioinformatics/btq384
PMCID:
PMC2935448
Abstract Full Text PDF–244K
A quantitative approach to study indirect effects among disease proteins in the human protein interaction network
Thanh-Phuong Nguyen, Ferenc Jordán
BMC Syst Biol. 2010; 4: 103. Published online 2010 July 29. doi: 10.1186/1752-0509-4-103
PMCID:
PMC2924296
Abstract Full Text PDF–1.4M Supplementary Material
Integration of multiple data sources to prioritize candidate genes using discounted rating system
Yongjin Li, Jagdish C Patra
BMC Bioinformatics. 2010; 11(Suppl 1): S20. Published online 2010 January 18. doi: 10.1186/1471-2105-11-S1-S20
PMCID:
PMC3009491
Abstract Full Text PDF–660K
Gene prioritization and clustering by multi-view text mining
Shi Yu, Leon-Charles Tranchevent, Bart De Moor, Yves Moreau
BMC Bioinformatics. 2010; 11: 28. Published online 2010 January 14. doi: 10.1186/1471-2105-11-28
PMCID:
PMC3098068
Abstract Full Text PDF–1.6M Supplementary Material
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Esteban Czwan, Benedikt Brors, David Kipling
BMC Bioinformatics. 2010; 11: 19. Published online 2010 January 11. doi: 10.1186/1471-2105-11-19
PMCID:
PMC2824674
Abstract Full Text PDF–633K Supplementary Material
Advances in translational bioinformatics: computational approaches for the hunting of disease genes
Maricel G. Kann
Brief Bioinform. 2010 January; 11(1): 96–110. Published online 2009 December 10. doi: 10.1093/bib/bbp048
PMCID:
PMC2810112
Abstract Full Text PDF–637K
Network-based Identification of Novel Cancer Genes
Gabriel Östlund, Mats Lindskog, Erik L. L. Sonnhammer
Mol Cell Proteomics. 2010 April; 9(4): 648–655. Published online 2009 December 3. doi: 10.1074/mcp.M900227-MCP200
PMCID:
PMC2860235
Abstract Full Text Supplementary Material
Hypothesis-Driven Candidate Gene Association Studies: Practical Design and Analytical Considerations
Timothy J. Jorgensen, Ingo Ruczinski, Bailey Kessing, Michael W. Smith, Yin Yao Shugart, Anthony J. Alberg
Am J Epidemiol. 2009 October 15; 170(8): 986–993. Published online 2009 September 17. doi: 10.1093/aje/kwp242
PMCID:
PMC2765367
Abstract Full Text PDF–126K
Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network
Bolan Linghu, Evan S Snitkin, Zhenjun Hu, Yu Xia, Charles DeLisi
Genome Biol. 2009; 10(9): R91. Published online 2009 September 3. doi: 10.1186/gb-2009-10-9-r91
PMCID:
PMC2768980
Abstract Full Text PDF–676K Supplementary Material
Linking genes to diseases: it's all in the data
Nicki Tiffin, Miguel A Andrade-Navarro, Carolina Perez-Iratxeta
Genome Med. 2009; 1(8): 77. Published online 2009 August 7. doi: 10.1186/gm77
PMCID:
PMC2768963
Abstract Full Text PDF–216K
ToppGene Suite for gene list enrichment analysis and candidate gene prioritization
Jing Chen, Eric E. Bardes, Bruce J. Aronow, Anil G. Jegga
Nucleic Acids Res. 2009 July 1; 37(Web Server issue): W305–W311. Published online 2009 July 1. doi: 10.1093/nar/gkp427
PMCID:
PMC2703978
Abstract Full Text PDF–146K
Evaluation of genome-wide association study results through development of ontology fingerprints
Lam C. Tsoi, Michael Boehnke, Richard L. Klein, W. Jim Zheng
Bioinformatics. 2009 May 15; 25(10): 1314–1320. Published online 2009 April 5. doi: 10.1093/bioinformatics/btp158
PMCID:
PMC2732313
Abstract Full Text PDF–127K Supplementary Material
In silico prioritisation of candidate genes for prokaryotic gene function discovery: an application of phylogenetic profiles
Frank PY Lin, Enrico Coiera, Ruiting Lan, Vitali Sintchenko
BMC Bioinformatics. 2009; 10: 86. Published online 2009 March 17. doi: 10.1186/1471-2105-10-86
PMCID:
PMC2669486
Abstract Full Text PDF–615K Supplementary Material
Disease candidate gene identification and prioritization using protein interaction networks
Jing Chen, Bruce J Aronow, Anil G Jegga
BMC Bioinformatics. 2009; 10: 73. Published online 2009 February 27. doi: 10.1186/1471-2105-10-73
Correction in:
BMC Bioinformatics. 2009; 10: 406.
PMCID:
PMC2657789
Abstract Full Text PDF–1.2M Supplementary Material Correction
Identifying hypothetical genetic influences on complex disease phenotypes
Benjamin J Keller, Richard C McEachin
BMC Bioinformatics. 2009; 10(Suppl 2): S13. Published online 2009 February 5. doi: 10.1186/1471-2105-10-S2-S13
PMCID:
PMC2646236
Abstract Full Text PDF–1020K
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
Erdahl T Teber, Jason Y Liu, Sara Ballouz, Diane Fatkin, Merridee A Wouters
BMC Bioinformatics. 2009; 10(Suppl 1): S69. Published online 2009 January 30. doi: 10.1186/1471-2105-10-S1-S69
PMCID:
PMC2648789
Abstract Full Text PDF–1.2M Supplementary Material
Gene–disease relationship discovery based on model-driven data integration and database view definition
S. Yilmaz, P. Jonveaux, C. Bicep, L. Pierron, M. Smaïl-Tabbone, M.D. Devignes
Bioinformatics. 2009 January 15; 25(2): 230–236. Published online 2008 November 18. doi: 10.1093/bioinformatics/btn612
PMCID:
PMC2639000
Abstract Full Text PDF–148K Supplementary Material
Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of Myasthenia Gravis
Mandeep Kaur, Sebastian Schmeier, Cameron R MacPherson, Oliver Hofmann, Winston A Hide, Stephen Taylor, Nick Willcox, Vladimir B Bajic
BMC Genomics. 2008; 9: 481. Published online 2008 October 13. doi: 10.1186/1471-2164-9-481
PMCID:
PMC2592250
Abstract Full Text PDF–331K Supplementary Material
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