ADEPTUS: a discovery tool for disease prediction, enrichment and network analysis based on profiles from many diseases

被引:7
作者
Amar, David [1 ,2 ]
Vizel, Amir [2 ]
Levy, Carmit [3 ]
Shamir, Ron [2 ]
机构
[1] Stanford Univ, Dept Cardiovasc Med, Stanford, CA 94305 USA
[2] Tel Aviv Univ, Blavatnik Sch Comp Sci, Sackler Fac Med, IL-69978 Tel Aviv, Israel
[3] Tel Aviv Univ, Dept Human Genet & Biochem, Sackler Fac Med, IL-69978 Tel Aviv, Israel
基金
欧洲研究理事会; 以色列科学基金会;
关键词
D O I
10.1093/bioinformatics/bty027
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Large-scale publicly available genomic data on many disease phenotypes could improve our understanding of the molecular basis of disease. Tools that undertake this challenge by jointly analyzing multiple phenotypes are needed. Results: ADEPTUS is a web-tool that enables various functional genomics analyses based on a high-quality curated database spanning >38, 000 gene expression profiles and > 100 diseases. It offers four types of analysis. (i) For a gene list provided by the user it computes disease ontology (DO), pathway, and gene ontology (GO) enrichment and displays the genes as a network. (ii) For a given disease, it enables exploration of drug repurposing by creating a gene network summarizing the genomic events in it. (iii) For a gene of interest, it generates a report summarizing its behavior across several studies. (iv) It can predict the tissue of origin and the disease of a sample based on its gene expression or its somatic mutation profile. Such analyses open novel ways to understand new datasets and to predict primary site of cancer.
引用
收藏
页码:1959 / 1961
页数:3
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