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Article

A Bioinformatics Analysis of Ovarian Cancer Data Using Machine Learning

2023-05-06

Abstract excerpt

The identification of biomarkers is crucial for cancer diagnosis, understanding the underlying biological mechanisms, and developing targeted therapies. In this study we propose a machine learning approach to predict the outcome and platinum resistance status of ovarian cancer patients using public available gene expression data. Six classical machine learning algorithms are compared on their predictive performanc...

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Literature Corpus work
0ae9c635-e46c-5591-9dd9-169f1efdc12e
DOI
10.20944/preprints202305.0413.v1
Open publication

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A Bioinformatics Analysis of Ovarian Cancer Data Using Machine LearningDOI 10.20944/preprints202305.0413.v1
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