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Speeding disease gene discovery by sequence based candidate prioritization.
Adie EA, Adams RR, Evans KL, Porteous DJ, Pickard BS
BMC Bioinformatics
2005,
6
:55
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PubMed Central articles that cite the above article:
1.
Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
Tiffin N, Adie E, Turner F, Brunner HG, van Driel MA, Oti M, Lopez-Bigas N, Ouzounis C, Perez-Iratxeta C, Andrade-Navarro MA, Adeyemo A, Patti ME, Semple CA, Hide W
Nucleic Acids Res
2006,
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:3067-81
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Candidate gene identification approach: progress and challenges.
Zhu M, Zhao S
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2007,
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Prediction of human disease genes by human-mouse conserved coexpression analysis.
Ala U, Piro RM, Grassi E, Damasco C, Silengo L, Oti M, Provero P, Di Cunto F
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2008 Mar,
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Commonality of functional annotation: a method for prioritization of candidate genes from genome-wide linkage studies.
Shriner D, Baye TM, Padilla MA, Zhang S, Vaughan LK, Loraine AE
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Network-based global inference of human disease genes.
Wu X, Jiang R, Zhang MQ, Li S
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ENDEAVOUR update: a web resource for gene prioritization in multiple species.
Tranchevent LC, Barriot R, Yu S, Van Vooren S, Van Loo P, Coessens B, De Moor B, Aerts S, Moreau Y
Nucleic Acids Res
2008 Jul 1,
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