CellNOptR: A flexible toolkit to train protein signaling networks to data using multiple logic formalisms

BMC Systems Biology

Volumn 6, Issue , 2012, Pages

  Terfve, Camille ^a   Cokelaer, Thomas ^a   Henriques, David ^a   MacNamara, Aidan ^a   Goncalves, Emanuel ^a   Morris, Melody K ^b   Iersel, Martijn van ^a   Lauffenburger, Douglas A ^b   Saez Rodriguez, Julio ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b Massachusetts Institute of Technology   (United States)

Author keywords

Logic modeling; Perturbation data; Phosphoproteomics; Signaling networks; Systems biology

Indexed keywords

PROTEIN;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; CELL STRAIN HEPG2; COMPUTER INTERFACE; COMPUTER PROGRAM; HUMAN; LIVER TUMOR; LOGIC; METABOLISM; METHODOLOGY; PATHOLOGY; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS;

COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; HEP G2 CELLS; HUMANS; LIVER NEOPLASMS; LOGIC; MODELS, BIOLOGICAL; PROTEINS; SIGNAL TRANSDUCTION; SOFTWARE; USER-COMPUTER INTERFACE;

MLCS; MLOWN;

EID: 84867537553     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-6-133     Document Type: Article

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