Text-mined knowledgebase for drivers, oncogenes and tumor suppressors in cancer
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Updated
Mar 12, 2023 - R
Text-mined knowledgebase for drivers, oncogenes and tumor suppressors in cancer
Human gene annotations for the oncology domain
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).
The effects of oncogenic driver and resistance alterations on clinical outcomes in patients with non-small cell lung cancer in Thailand.
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