A novel computational framework for simultaneous integration of multiple types of genomic data to identify microrna-gene regulatory modules

Bioinformatics

Volumn 27, Issue 13, 2011, Pages

  Zhang, Shihua ^a,b   Li, Qingjiao ^a,c   Liu, Juan ^c   Zhou, Xianghong Jasmine ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b CHINESE ACADEMY OF SCIENCES   (China)

^c WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA;

3' UNTRANSLATED REGION; ALGORITHM; ARTICLE; CLUSTER ANALYSIS; FEMALE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; METHODOLOGY; OVARY TUMOR; REGULATORY SEQUENCE;

3' UNTRANSLATED REGIONS; ALGORITHMS; CLUSTER ANALYSIS; FEMALE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; MICRORNAS; OVARIAN NEOPLASMS; REGULATORY ELEMENTS, TRANSCRIPTIONAL;

EID: 79959448071     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr206     Document Type: Article

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