Article

A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants

2020-11-12

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Breast cancer is amongst the 10 first causes of death in women worldwide. Around 20% of patients are misdiagnosed leading to early metastasis, resistance to treatment and relapse. Many clinical and gene expression profiles have been successfully used to classify breast tumours into 5 major types with different prognosis and sensitivity to specific treatments. Unfortunately,...

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Literature Corpus work: 6ad2a28c-b8e6-5f1b-a8fb-bb09e0382bb2
DOI: 10.1101/2020.11.12.380485

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