Gene Set Analysis: Challenges, Opportunities, and Future Research

被引：114

作者：

Maleki, Farhad ^{[1
]}

Ovens, Katie ^{[1
]}

Hogan, Daniel J. ^{[1
]}

Kusalik, Anthony J. ^{[1
]}

机构：

[1] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK, Canada

来源：

FRONTIERS IN GENETICS | 2020年 / 11卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

gene expression; gene set analysis; gene set enrichment; gene set database; sensitivity; specificity; ENRICHMENT ANALYSIS; PERFORMANCE EVALUATION; SKELETAL-MUSCLE; EXPRESSION DATA; RESOURCE; DATABASE;

D O I：

10.3389/fgene.2020.00654

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Gene set analysis methods are widely used to provide insight into high-throughput gene expression data. There are many gene set analysis methods available. These methods rely on various assumptions and have different requirements, strengths and weaknesses. In this paper, we classify gene set analysis methods based on their components, describe the underlying requirements and assumptions for each class, and provide directions for future research in developing and evaluating gene set analysis methods.

引用

页数：16

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