Biblio

Found 4 results

Filters: Author is Haussler, D [Clear All Filters]

2014

E. Collisson, Radenbaugh, A. J., Ma, S., Ewing, A., Stuart, J. M., Collisson, E. A., Zhu, J., and Haussler, D., “RADIA: RNA and DNA integrated analysis for somatic mutation detection”, 2014.

2012

E. Collisson, Ng, S., Collisson, E. A., Sokolov, A., Goldstein, T., Lopez-Bigas, N., Benz, C., Haussler, D., Stuart, J. M., and , “PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis”, 2012.

2011

D. M. Wolf, Yau, C., Benz, S., Vaske, C., Stuart, J., Roy, R., Olshen, A., Boudreau, A., Haussler, D., Gray, J., and , “P1-06-09: Patient-Specific Integrative Pathway Analysis Using PARADIGM Identifies Key Activities in I-SPY 1 Breast Cancer Patients (CALGB 150007/150012; ACRIN 6657).”. American Association for Cancer Research, 2011.

2010

C. J. Vaske, Benz, S. C., Sanborn, J. Z., Earl, D., Szeto, C., Zhu, J., Haussler, D., and Stuart, J. M., “Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM. Bioinformatics 26, i237–i245 (2010)”, This paper describes an application of approaches from the probabilistic graphical models in the identification of pathways or dependencies deviating from a given norm. CAS PubMed Article, 2010.