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基因集分析:挑战、机遇与未来研究

Gene Set Analysis: Challenges, Opportunities, and Future Research.

作者信息

Maleki Farhad, Ovens Katie, Hogan Daniel J, Kusalik Anthony J

机构信息

Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.

出版信息

Front Genet. 2020 Jun 30;11:654. doi: 10.3389/fgene.2020.00654. eCollection 2020.

Abstract

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.

摘要

基因集分析方法被广泛用于深入了解高通量基因表达数据。现有许多基因集分析方法。这些方法依赖于各种假设,并且有不同的要求、优点和缺点。在本文中,我们根据其组成部分对基因集分析方法进行分类,描述每一类方法的基本要求和假设,并为开发和评估基因集分析方法的未来研究提供方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc43/7339292/f8dcf0e8edfa/fgene-11-00654-g0001.jpg

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