Library of Integrated Cellular Signatures L1000
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Updated
Apr 21, 2022 - Jupyter Notebook
Library of Integrated Cellular Signatures L1000
L1000 peak deconvolution based on Bayesian analysis
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
EXP2SL: a Machine Learning Framework for Cell-Line Specific Synthetic Lethality Prediction
Identification of candidate causal perturbations from differential gene expression data
Code and Datasets for the paper "Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing", published on Patterns in 2022.
Code and Datasets for the paper "A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing", published on Nature Machine Intelligence in 2021.
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