Constructing a compound Mode-of-Action network for personalized drug effectiveness prediction

2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010

Volumn , Issue , 2010, Pages 520-528

  Ma, Chifeng ^a   Chen, Hung I Harry ^b   Huang, Yufei ^a,b   Chen, Yidong ^b  

^a The University of Texas at San Antonio   (United States)

^b UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

Author keywords

Connectivity map; Drug effectiveness prediction; MoA networks; Mode of Action (MoA)

Indexed keywords

ACTION NETWORK; BREAST CANCER DATA; CONNECTIVITY MAP; DRUG EFFECTIVENESS PREDICTION; DRUG SCREENING; GENE EXPRESSION PROFILES; MOA NETWORKS; MODE OF ACTION; PREDICTION ALGORITHMS;

ALGORITHMS; DRUG THERAPY; FORECASTING; GENE EXPRESSION;

BIOINFORMATICS;

EID: 77958040999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1854776.1854876     Document Type: Conference Paper

References (8)

1. Lamb, J., The Connectivity Map: a new tool for biomedical research. Nat Rev Cancer, 2007. 7(1): p. 54-60.
2. Michnick, S.W., The connectivity map. Nat Chem Biol, 2006. 2(12): p. 663-4.
3. Scherf, U., et al., A gene expression database for the molecular pharmacology of cancer. Nat Genet, 2000. 24(3): p. 236-44. (Pubitemid 30132190)
4. Weinstein, J.N., et al., An information-intensive approach to the molecular pharmacology of cancer. Science, 1997. 275(5298): p. 343-9.
5. Lee, J.K., et al., A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery. Proc Natl Acad Sci U S A, 2007. 104(32): p. 13086-91.
6. Iorio, F., R. Tagliaferri, and D. di Bernardo, Identifying network of drug mode of action by gene expression profiling. J Comput Biol, 2009. 16(2): p. 241-51.
7. Loi, S., et al., Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen. BMC Genomics, 2008. May 22, 9:239
8. Bolstad, B.M., et al., A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics, 2003. 19(2): p. 185-93.