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Xavier Robin - Research

I am interested in developing algorithms to extract morphological features from cells imaged with high-throughput microscopy in genome-wide siRNA screens. I develop methods for dimensionality reduction, feature selection and modelling the data into a network. The long-term goal of this project is to be able to find personalized network-based treatments for cancer.




image_icon.pngBiological forecasting

Similar to weather forecasts, biological forecasts can be developed to predict cell behaviour following a perturbation (or cue). Super-computing facilities are required to model the complex non-linear networks of interactions and their effects. Such models integrate genetic (sequencing), expression (proteomics) and phenotypic (imaging) data with neural network algorithms, and allow to derive information on the signaling network architecture.