conference-paper
Identifying Breast Cancer Cell Lines Using High Performance Machine Learning Methods
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- 1
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Paper overview
Abstract
We present a computational framework based on machine learning classifiers K-Nearest Neighbors and Neighborhood Component analysis for breast cancer (BC) subtypes prognostic. Our results has up to 97% accuracy for prognostic stratification of BC subtypes.
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Publication details
- DOI
- 10.1364/laop.2022.tu5a.3
- OpenAlex
- W4312610259
- Document type
- conference-paper
- Language
- EN
- Source
- Latin America Optics and Photonics (LAOP) Conference 2022
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