Advances in Statistical Modeling of High Dimensional Data:
Variable selection, and Challenges in Image Analysis

Grégoire Pau, EMBL Heidelberg

Prediction of gene function by automated cellular phenotyping and genome-wide RNAi

Phenotyping of cellular model systems through high content screening (automated microscopy and image analysis) is a powerful approach to associate genes with biological processes. It also opens the possibility to systematically assay genetic and chemical perturbations and their interactions. I will describe an approach to the complete work flow of: image segmentation and feature extraction, screen quality assessment, distance metric learning, data presentation and integrative biologic analyses.

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