Inferring gene regulatory networks by integrating ChIP-seq/chip and transcriptome data via LASSO-type regularization methods

Methods

Volumn 67, Issue 3, 2014, Pages 294-303

  Qin, Jing ^a,d   Hu, Yaohua ^b,c   Xu, Feng ^a,d   Yalamanchili, Hari Krishna ^a,d   Wang, Junwen ^a,d  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b ZHEJIANG UNIVERSITY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^d UNIVERSITY OF HONG KONG   (China)

Author keywords

ChIP seq chip; Gene regulatory networks; Integrative omics data; LASSO type regularization methods; Transcriptome

Indexed keywords

TRANSCRIPTION FACTOR; TRANSCRIPTOME;

ANIMAL CELL; ARTICLE; BINDING SITE; CHROMATIN IMMUNOPRECIPITATION; CONTROLLED STUDY; EMBRYONIC STEM CELL; ENHANCER REGION; GENE REGULATORY NETWORK; GENETIC ALGORITHM; GENETIC MODEL; GENOME; GOLD STANDARD; HIGH THROUGHPUT SEQUENCING; INFERRING GENE REGULATORY NETWORK; LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR; MOUSE; NONHUMAN; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; ALGORITHM; BIOLOGICAL MODEL; GENE EXPRESSION PROFILING; PROCEDURES;

ESCHERICHIA COLI; SACCHAROMYCES CEREVISIAE;

ALGORITHMS; CHROMATIN IMMUNOPRECIPITATION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENOME; MODELS, GENETIC;

EID: 84901463273     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.03.006     Document Type: Article

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