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
Here are 4 public repositories matching this topic...
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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Jun 16, 2025 - Python
This project contains the code for the manuscript "Explainable Machine Learning Identifies Factors for Dosage Compensation in Aneuploid Human Cancer Cells" by Heller et al. (https://doi.org/10.1101/2025.05.12.653427).
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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Aug 8, 2025 - R
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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