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Identification of biomarkers for breast cancer early diagnosis based on the molecular classification using machine learning algorithms on transcriptomic data and factorial designs for analysis

2023-05-12

Abstract excerpt

<h4>Background: </h4> Breast cancer is the second leading cause of global female mortality. Diagnosing and treating breast cancer patients at early stages is relevant for providing successful treatment and increasing the patient's survival rate. The use of new analytical methods for massive data from biological samples, such as Machine Learning Algortithms (MLAs), is necessary for improving cancer diagnosis, espec...

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Literature Corpus work
9d2ecc70-2ffd-567c-97af-92531930fcb5
DOI
10.21203/rs.3.rs-2877610/v1
Open publication

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Identification of biomarkers for breast cancer early diagnosis based on the molecular classification using machine learning algorithms on transcriptomic data and factorial designs for analysisDOI 10.21203/rs.3.rs-2877610/v1
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