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Items: 1 to 20 of 90

1.

Computational tools for prioritizing candidate genes: boosting disease gene discovery.

Moreau Y, Tranchevent LC.

Nat Rev Genet. 2012 Jul 3;13(8):523-36. doi: 10.1038/nrg3253. Review.

PMID:
22751426
2.

Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression.

Zhang SW, Shao DD, Zhang SY, Wang YB.

Mol Biosyst. 2014 Jun;10(6):1400-8. doi: 10.1039/c3mb70588a. Epub 2014 Apr 3.

PMID:
24695957
3.

Candidate gene prioritization.

Masoudi-Nejad A, Meshkin A, Haji-Eghrari B, Bidkhori G.

Mol Genet Genomics. 2012 Sep;287(9):679-98. doi: 10.1007/s00438-012-0710-z. Epub 2012 Aug 15. Review. Retraction in: Masoudi-Nejad A, Meshkin A, Haji-Eghrari B, Bidkhori G. Mol Genet Genomics. 2015 Dec;290(6):2357.

PMID:
22893106
4.

Web tools for the prioritization of candidate disease genes.

Oti M, Ballouz S, Wouters MA.

Methods Mol Biol. 2011;760:189-206. doi: 10.1007/978-1-61779-176-5_12.

PMID:
21779998
5.

Speeding disease gene discovery by sequence based candidate prioritization.

Adie EA, Adams RR, Evans KL, Porteous DJ, Pickard BS.

BMC Bioinformatics. 2005 Mar 14;6:55.

6.

Conceptual thinking for in silico prioritization of candidate disease genes.

Tiffin N.

Methods Mol Biol. 2011;760:175-87. doi: 10.1007/978-1-61779-176-5_11.

PMID:
21779997
7.

The prediction of candidate genes for cervix related cancer through gene ontology and graph theoretical approach.

Hindumathi V, Kranthi T, Rao SB, Manimaran P.

Mol Biosyst. 2014 Jun;10(6):1450-60. doi: 10.1039/c4mb00004h. Epub 2014 Mar 20.

PMID:
24647578
8.

TargetMine, an integrated data warehouse for candidate gene prioritisation and target discovery.

Chen YA, Tripathi LP, Mizuguchi K.

PLoS One. 2011 Mar 8;6(3):e17844. doi: 10.1371/journal.pone.0017844.

9.

Digital candidate gene approach (DigiCGA) for identification of cancer genes.

Zhu MJ, Li X, Zhao SH.

Methods Mol Biol. 2010;653:105-29. doi: 10.1007/978-1-60761-759-4_7. Review.

PMID:
20721740
10.

Global risk transformative prioritization for prostate cancer candidate genes in molecular networks.

Chen L, Tai J, Zhang L, Shang Y, Li X, Qu X, Li W, Miao Z, Jia X, Wang H, Li W, He W.

Mol Biosyst. 2011 Sep;7(9):2547-53. doi: 10.1039/c1mb05134b. Epub 2011 Jul 7.

PMID:
21735017
11.

Computational disease gene prioritization: an appraisal.

Gill N, Singh S, Aseri TC.

J Comput Biol. 2014 Jun;21(6):456-65. doi: 10.1089/cmb.2013.0158. Epub 2014 Mar 25. Review.

PMID:
24665902
12.

DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis.

Sherman BT, Huang da W, Tan Q, Guo Y, Bour S, Liu D, Stephens R, Baseler MW, Lane HC, Lempicki RA.

BMC Bioinformatics. 2007 Nov 2;8:426.

13.

Syndrome to gene (S2G): in-silico identification of candidate genes for human diseases.

Gefen A, Cohen R, Birk OS.

Hum Mutat. 2010 Mar;31(3):229-36. doi: 10.1002/humu.21171.

PMID:
20052752
14.

HGCS: an online tool for prioritizing disease-causing gene variants by biological distance.

Itan Y, Mazel M, Mazel B, Abhyankar A, Nitschke P, Quintana-Murci L, Boisson-Dupuis S, Boisson B, Abel L, Zhang SY, Casanova JL.

BMC Genomics. 2014 Apr 3;15:256. doi: 10.1186/1471-2164-15-256.

15.

Probabilistic graphical models for genetic association studies.

Mourad R, Sinoquet C, Leray P.

Brief Bioinform. 2012 Jan;13(1):20-33. doi: 10.1093/bib/bbr015. Epub 2011 Mar 30. Review.

PMID:
21450805
16.

Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data.

Cooper GM, Shendure J.

Nat Rev Genet. 2011 Aug 18;12(9):628-40. doi: 10.1038/nrg3046. Review.

PMID:
21850043
17.

Biomine: predicting links between biological entities using network models of heterogeneous databases.

Eronen L, Toivonen H.

BMC Bioinformatics. 2012 Jun 6;13:119. doi: 10.1186/1471-2105-13-119.

18.

Computational approaches for human disease gene prediction and ranking.

Zhu C, Wu C, Aronow BJ, Jegga AG.

Adv Exp Med Biol. 2014;799:69-84. doi: 10.1007/978-1-4614-8778-4_4. Review.

PMID:
24292962
19.

Statistical Viewer: a tool to upload and integrate linkage and association data as plots displayed within the Ensembl genome browser.

Stenger JE, Xu H, Haynes C, Hauser ER, Pericak-Vance M, Goldschmidt-Clermont PJ, Vance JM.

BMC Bioinformatics. 2005 Apr 12;6:95.

20.

Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.

Zhou M, Wang X, Li J, Hao D, Wang Z, Shi H, Han L, Zhou H, Sun J.

Mol Biosyst. 2015 Mar;11(3):760-9. doi: 10.1039/c4mb00511b. Epub 2014 Dec 11.

PMID:
25502053

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