Statistical and Computational Challenges in Omics Data Integration Workshop Announced

SAMSI will hold a workshop as part of the Beyond Bioinformatics program that will look at statistical and computational challenges in omics data integration on February 16-17. Deadline for this workshop is January 23 and is limited to 50 people. This workshop will examine the statistical and computational challenges arising from the analysis and interpretation of diverse types of omics data (genomics, proteomics, genetics, etc). The workshop will feature current and ongoing research work by two working groups within the Beyond Bioinformatics program.

DNA molecule illustration

Drawing depicting DNA molecule unwinding from a chromosome inside the nucleus of a cell. Illustration courtesy of

The Cancer Genome Atlas (TCGA) group is exploring the inference of cancer subtypes, and multidimensional outcome predictions through the joint analysis of diverse data types. The Chronic Obstructive Pulmonary Disease (COPD) working group are exploring the biological problems that include studying multivariate disease phenotypes, using omic data for sub-type identification, in depth exploration of GWAS results and identifying pathways associated with disease. Statistical tools explored in the working groups include graphical models, kernel machines, unsupervised learning, survival prediction, and pathway and network analysis. One of the main purposes of this mid-program workshop is for the two working groups to meet and discuss common approaches, present updates and interact face-to-face. The target audience will be the regular working group participants which include a mix of students, post-doctoral fellows and junior and senior faculty.

If you are interested in this workshop, visit the SAMSI website and apply by January 23.


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