A computational toolbox to predict essential genes using machine learning based on sequence and evolution-based information
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May 17, 2022 - Python
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gene-essentiality
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This project contains the code for the manuscript "Protein buffering of aneuploidy is driven by coordinated factors identified through machine learning" by Heller et al. published 2026 in Molecular Systems Biology (https://doi.org/10.1038/s44320-026-00187-9).
machine-learning cancer gene-expression proteomics enrichment-analysis proliferation oncogenes drug-resistance proteogenomics explainable-ml aneuploidy proteomics-data-analysis gene-essentiality explainable-machine-learning proteostasis dosage-compensation proteotoxic-stress
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Mar 2, 2026 - R
DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response
gene-expression crispr-cas9 multi-task-learning depmap transformer-models gene-essentiality drug-response
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Oct 16, 2025 - Python
NUS CS4220: Building a Weighted Gaussian Naive Bayes Model for prediction of gene essentiality in cancer cell-lines.
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Apr 23, 2024 - R
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