Application of Machine-Learning Methods to Understand Gene Expression Regulation

被引：7

作者：

Cheng, Chao ^{[1
,2
]}

Worzel, William P. ^{[3
]}

机构：

[1] Geisel Sch Med Dartmouth, Dept Genet, Inst Quantitat Biomed Sci, Hanover, NH 03755 USA

[2] Geisel Sch Med Dartmouth, Norris Cotton Canc Ctr, Hanover, NH USA

[3] Evolut Enterprises, Milan, MI 48160 USA

来源：

GENETIC PROGRAMMING THEORY AND PRACTICE XII | 2015年

关键词：

TRANSCRIPTION FACTOR-BINDING; CELL-CYCLE; INTEGRATIVE ANALYSIS; CHROMATIN FEATURES; GENOME; IDENTIFICATION; ENHANCERS; LANGUAGE; ELEMENTS; NETWORK;

D O I：

10.1007/978-3-319-16030-6_1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

引用

页码：1 / 15

页数：15

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