An integrative network inference approach to predict mechanisms of cancer chemoresistance

Integrative Biology (United Kingdom)

Volumn 5, Issue 3, 2013, Pages 458-473

  Lecca, Paola ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DRUG METABOLIZING ENZYME; GEMCITABINE;

ARTICLE; BAYESIAN INFERENCE FOR STOCHASTIC PROCESSE; CANCER CELL; CANCER CHEMOTHERAPY; GENE EXPRESSION; INFORMATION PROCESSING; PANCREAS CANCER; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; TUMOR RESISTANCE;

ALGORITHMS; ANTINEOPLASTIC AGENTS; BAYES THEOREM; BIOTRANSFORMATION; CELL LINE, TUMOR; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DEOXYCYTIDINE; DRUG RESISTANCE, NEOPLASM; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENE REGULATORY NETWORKS; HUMANS; MARKOV CHAINS; METABOLIC NETWORKS AND PATHWAYS; MODELS, STATISTICAL; PANCREATIC NEOPLASMS; STOCHASTIC PROCESSES; TIME FACTORS;

EID: 84874810196     PISSN: 17579694     EISSN: 17579708     Source Type: Journal    
DOI: 10.1039/c2ib20205k     Document Type: Article

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