Article

Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches

2020-06-03

Abstract excerpt

Triple-negative breast cancer (TNBC) heterogeneity represents one of the main impediment to precision medicine for this disease. Recent concordant transcriptomics studies have shown that TNBC could be splitted into at least three subtypes with potential therapeutic implications. Although, a few studies have been done to predict TNBC subtype by means of transcriptomics data , subtyping was partially sensitive and...

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Literature Corpus work: 39801f38-4dad-57a2-a0ed-ea5f57f2b5f0
DOI: 10.1101/2020.06.02.129544

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