FAROOQ, SAJIDDEL-VALLE, MATHEUSSANTOS, SOFIABERNARDES, EMERSON S.ZEZELL, DENISE M.2023-02-062023-02-06FAROOQ, SAJID; DEL-VALLE, MATHEUS; SANTOS, SOFIA; BERNARDES, EMERSON S.; ZEZELL, DENISE M. Identifying breast cancer cell lines using high performance machine learning methods. In: LATIN AMERICA OPTICS AND PHOTONICS CONFERENCE, August 7-11, 2022, Recife, PE. <b>Proceedings...</b> Washington, DC, USA: Optica Publishing Group, 2022. DOI: <a href="https://dx.doi.org/10.1364/LAOP.2022.Tu5A.3">10.1364/LAOP.2022.Tu5A.3</a>. DisponÃvel em: http://repositorio.ipen.br/handle/123456789/33726.http://repositorio.ipen.br/handle/123456789/33726We 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.openAccessprogrammingcomputer codesautomationmachine learningneoplasmsmammary glandsdiagnosistumor cellsIdentifying breast cancer cell lines using high performance machine learning methodsTexto completo de evento10.1364/LAOP.2022.Tu5A.30000-0001-7404-96060000-0002-0029-7313https://orcid.org/0000-0001-7404-9606https://orcid.org/0000-0002-0029-7313