A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations
Author:
Affiliation:
1. Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, P. R. China
2. National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, P. R. China
Abstract
Funder
National Natural Science Foundation of China
Fundamental Research Funds for Central Universities
National Science Foundation of Hubei Province
China Postdoctoral Science Foundation Funded Project
Publisher
Oxford University Press (OUP)
Subject
Cancer Research,General Medicine
Link
http://academic.oup.com/carcin/article-pdf/40/5/624/28902223/bgz044.pdf
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3. Drug target prediction and prioritization: using orthology to predict essentiality in parasite genomes;Doyle;BMC Genomics,2010
4. Computational tools for prioritizing candidate genes: boosting disease gene discovery;Moreau;Nat. Rev. Genet.,2012
5. Candidate gene prioritization with Endeavour;Tranchevent;Nucleic Acids Res.,2016
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