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COOBoostR: an extreme gradient boosting-based tool for robust tissue or cell-of-origin prediction of tumors

2022-10-25

Abstract excerpt

We here present COOBoostR ( https://github.com/SWJ9385/COOBoostR ), a computational method designed for the putative prediction of tissue-or cell-of-origin of various cancer types. COOBoostR leverages regional somatic mutation density information and chromatin mark features to be applied to an extreme gradient boosting-based machine-learning algorithm. COOBoostR ranks chromatin marks from various tissue and cell...

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Literature Corpus work
77c73954-1b37-555e-8c44-a8162938798e
DOI
10.1101/2022.10.24.513446
Open publication

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COOBoostR: an extreme gradient boosting-based tool for robust tissue or cell-of-origin prediction of tumorsDOI 10.1101/2022.10.24.513446
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