Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways

ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Volumn , Issue , 2014, Pages 436-444

  Zhang, Fan ^a   Kwoh, Chee Keong ^a   Wu, Min ^b   Zheng, Jie ^a,c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c GENOME INSTITUTE OF SINGAPORE   (Singapore)

Author keywords

Cancer; Cell fates; Nonlinear; Signaling proteins

Indexed keywords

BINDING ENERGY; BIOINFORMATICS; BIOLOGICAL SYSTEMS; CELL DEATH; DISEASES; FORECASTING; MEDICAL INFORMATICS; NONLINEAR SYSTEMS; PROTEINS; SIGNALING;

BINDING AFFINITIES; CANCER; CELL FATES; COMPLEX BIOLOGICAL SYSTEMS; MOLECULAR INFORMATION; NONLINEAR; SIGNALING PROTEINS; TRADITIONAL APPROACHES;

CELL SIGNALING;

EID: 84920748483     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2649387.2649425     Document Type: Conference Paper

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