Embedding gene sets in low-dimensional space

被引：1

作者：

Hoinka, Jan ^{[1
]}

Przytycka, Teresa M. ^{[1
]}

机构：

[1] NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bldg 10, Bethesda, MD 20892 USA

来源：

NATURE MACHINE INTELLIGENCE | 2020年 / 2卷 / 07期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1038/s42256-020-0204-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An important task in system biology is to understand cellular processes through the lens of gene sets and their expression patterns. Machine learning can help, but genes form complex interaction networks, and levarging this information in machine learning applications requires a sophisticated data representation.

引用

页码：367 / 368

页数：2

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