Syndrome to gene (S2G): in-silico identification of candidate genes for human diseases-Reference-Cited by-同舟云学术

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

Published:2010-03 Issue:3 Volume:31 Page:229-236
ISSN:1059-7794
Container-title:Human Mutation
language:en
Short-container-title:Hum. Mutat.

Author:

Gefen Avitan,Cohen Raphael,Birk Ohad S.

Publisher

Wiley

Subject

Genetics(clinical),Genetics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/humu.21171/fullpdf

Reference27 articles.

1. Speeding disease gene discovery by sequence based candidate prioritization;Adie;BMC Bioinformatics,2005

2. SUSPECTS: enabling fast and effective prioritization of positional candidates;Adie;Bioinformatics,2006

3. Gene prioritization through genomic data fusion;Aerts;Nat Biotechnol,2006

4. Aronson AR. 2006. MetaMap: mapping text to the UMLS metathesaurus. Available at: http://skr.nlm.nih.gov/papers/references/metamap06.pdf. Accessed December 2009.

5. Baldwin B, Carpenter B. 2003. Alias-i lingpipe software. Available at: http://www.alias-i.com/lingpipe. Accessed December 2009.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Disease gene prediction with privileged information and heteroscedastic dropout;Bioinformatics;2021-07-01

2. PGCN: Disease gene prioritization by disease and gene embedding through graph convolutional neural networks;2019-01-28

3. Gene Prioritization Tools;Encyclopedia of Bioinformatics and Computational Biology;2019

4. Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information;Bioinformatics;2018-06-27

5. PCAN: phenotype consensus analysis to support disease-gene association;BMC Bioinformatics;2016-12