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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning

2019-06-10

Abstract excerpt

Early detection of breast cancer and its correct stage determination are important for prognosis and rendering appropriate personalized clinical treatment to breast cancer patients. However, despite considerable efforts and progress, there is a need to identify the specific genomic factors responsible for, or accompanying Invasive Ductal Carcinoma (IDC) progression stages, which can aid the determination of the co...

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Literature Corpus work
5d721ab2-b403-5e3c-819c-edf9c5113561
DOI
10.1101/666222
Open publication

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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learningDOI 10.1101/666222
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