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
收藏
页码：1 / 15
页数：15
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