Talk by J. Gagneur on "Genome-wide statistical models... " to be held at 12 pm on June 26, 2013 in rm. B349
Julien Gagneur of the Gene Center of the LMU will give a talk on
Genome-wide statistical models of gene expression: Three studies.on Wednesday June 26, 12:00 p.m. in Room B349 at the Department of Mathematics. All interested people are welcome.
AbstractAfter a short introduction on genomics and the statistical challenges in the field, I will present three studies illustrating our research activities.
- The interpretation of data-driven experiments in genomics often involves a search for biological categories that are enriched for the responder genes identified by the experiments. With Model-based Gene Set Analysis (MGSA), we tackle the problem by turning the question differently. Instead of searching for all significantly enriched groups, we search for a minimal set of groups that can explain the data.
- Systems genetics with environment. We show how non-additive effects between genotype and environment can be exploited for causal inference in molecular networks. Using genome-wide perturbation assays in yeast, we experimentally demonstrate the validity of the approach.
- Analysis of genome-wide occupancy data with bidirectional HMM. The genome has two strands with transcription going either direction depending on the location. We extended Hidden Markov Models to allow a local direction (forward or reverse) to be inferred. Applied on genome-wide occupancy data of transcription factors, we obtained a fine grain picture of transcription states in the yeast genome.