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This contains codes and workflows for data analysis regarding SATAY experiments.

This repository is to brainstorm,and organize ideas to apply machine learning algorithms to meaningful biological problems. One of our focus is predicting genetic/physical interactions between unknown genes pairs in budding yeast. We would like to extend this analysis to multiple knockout mutants.

Play around with a Jupyter Notebook used with a docker.

website for course MechaRela

Test signals and analysis code for motion base testing.

Non-affine correction library (naclib) using ST-polynomial decomposition (STPD) for distortion correction in microscope images.