Author Description

Cancer panomics: Computational methods and infrastructure for integrative analysis of cancer high-throughput "OMICS" data. Session introduction / Soren Brunak [und weitere] -- Tumor haplotype assembly algorithms for cancer genomics / Derek Aguiar, Wendy S.W. Wong, Sorin Istrail -- Extracting significant sample-specific cancer mutations using their protein interactions / Liviu Badea -- The stream algorithm: Computationally efficient ridge-regression via Bayesian model averaging, and applications to pharmacogenomic prediction of cancer cell line sensitivity / Elias Chaibub Neto [und weitere] -- Sharing information to reconstruct patient-specific pathways in heterogeneous diseases / Anthony Gitter [und weitere] -- Detecting statistical interaction between somatic mutational events and germline variation from next-generation sequence data / Hao Hu, Chad D. Huff -- Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line data / In Sock Jang [und weitere] -- Integrative analysis of two cell lines derived from a non-small-lung cancer patient - A panomics approach / Oleg Mayba [und weitere] -- An integrated approach to blood-based cancer diagnosis and biomarker discovery / Martin Renqiang Min [und weitere] -- Multiplex meta-analysis of medulloblastoma expression studies with external controls / Alexander A. Morgan [und weitere] -- Computational approaches to drug repurposing and pharmacology. Session introduction / S. Joshua Swamidass [und weitere] -- Challenges in secondary analysis of high throughput screening data / Aurora S. Blucher, Shannon K. McWeeney -- Drug intervention response predictions with paradigm (DIRPP) identifies drug resistant cancer cell lines and pathway mechanisms of resistance / Douglas Brubaker [und weitere] -- Anti-infectious drug repurposing using an integrated chemical genomics and structural systems biology approach / Clara Ng [und weitere] -- Drug-target interaction prediction by integrating chemical, gen