WebChemCop's patented analysis has been used by major oil and gas producers and has proven to reduce failure rates by more than 98% and reduce chemical spend by 30%. … WebI am happy that our paper from my time at Facebook AIin collaboration with Helmholtz Zentrum Münchenon in-silico prediction of single-cell gene-expression responses to drugs or genetic...
Predicting single-cell perturbation responses for unseen drugs
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NeRD: a multichannel neural network to predict cellular ... - PubMed
WebRT @leon_het: Interested how to leverage chemical priors for drug response prediction in single-cell data? I will present chemCPA at #NeurIPS2024, today 11am at Hall ... WebOct 31, 2024 · We introduce chemCPA, a new encoder-decoder architecture to study the perturbational effects of unseen drugs. We combine the model with an architecture surgery for transfer learning and demonstrate how training on existing bulk RNA HTS datasets can improve generalisation performance. WebSep 16, 2024 · ChemCPA can enrich single-cell data meaningfully and is able to predict perturbation effects for unseen drugs. Back to: All News To top -Informatics 26 - Data Analytics and Machine Learning Prof. Dr. Stephan Günnemann. Technical University of Munich Department of Informatics Boltzmannstr. 3 ... keynest.com