Estimating drivers of cell state transitions using gene regulatory network models

BMC Systems Biology

Volumn 11, Issue 1, 2017, Pages

  Schlauch, Daniel ^a,b   Glass, Kimberly ^b,c   Hersh, Craig P ^b,c   Silverman, Edwin K ^b,c   Quackenbush, John ^a,b  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Chronic obstructive pulmonary disease; Gene regulatory network inference; Genomics

Indexed keywords

TRANSCRIPTION FACTOR;

ALGORITHM; BIOLOGICAL MODEL; CELL CYCLE; CHRONIC OBSTRUCTIVE LUNG DISEASE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; PATHOLOGY; SOFTWARE;

ALGORITHMS; CELL CYCLE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; HUMANS; MODELS, BIOLOGICAL; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 85038082059     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/s12918-017-0517-y     Document Type: Article

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