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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.
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Nynke Dekker lab / public / naclib
MIT LicenseNon-affine correction library (naclib) using ST-polynomial decomposition (STPD) for distortion correction in microscope images.
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Default location for all files for 2024-25 academic year. Subset of these files published to webserver.
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ACS2023 / Lab1-Template
Apache License 2.0Updated -
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Python programming skills self-assessment exercises for the tb231c course
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Stefano Speretta / hermes-simulator
GNU General Public License v3.0 or laterSimulator for satellite data relay systems
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Ruben Wiersma / hsn
MIT LicenseCode for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
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aj-lab / q4STEM
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