Multivariate dependence and genetic networks inference

IET Systems Biology

Volumn 4, Issue 6, 2010, Pages 428-440

  Margolin, A A ^a,b   Wang, K ^b,c   Califano, A ^b   Nemenman, I ^b,d  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b NewYork Presbyterian Hospital   (United States)

^c Oncology Research Unit   (United States)

^d EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

B CELLS; CELLULAR PROCESS; COMPUTATIONAL TESTS; CRITICAL TASKS; GENETIC NETWORKS; HIGH-THROUGHPUT DATA; HIGHER ORDER; JOINT EFFECT; MAXIMUM ENTROPY; MICROARRAY DATA; SECOND ORDERS; STATISTICAL CORRELATION; STATISTICAL DEPENDENCE; SYNTHETIC NETWORKS; SYSTEMS BIOLOGY; TARGET GENES; THIRD-ORDER; TRANSCRIPTIONAL ACTIVATIONS;

GENES; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

MULTIVARIANT ANALYSIS;

ALGORITHM; ARTICLE; B CELL LYMPHOMA; B LYMPHOCYTE; BIOLOGICAL MODEL; DNA MICROARRAY; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; HIGH THROUGHPUT SCREENING; HUMAN; METHODOLOGY; MULTIVARIATE ANALYSIS; ONCOGENE MYC; PHYSIOLOGY; SYSTEMS BIOLOGY;

ALGORITHMS; B-LYMPHOCYTES; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; GENES, MYC; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; LYMPHOMA, B-CELL; MODELS, GENETIC; MULTIVARIATE ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SYSTEMS BIOLOGY;

EID: 78149438375     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb.2010.0009     Document Type: Article

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