Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches.
Triple-negative breast cancer (TNBC) heterogeneity represents one of the main obstacles to precision medicine for this disease. Recent concordant transcriptomics studies have shown that TNBC could be divided into at least three subtypes with potential therapeutic implications.
- Ref: Comput Biol Med. 2020 Dec 9;129:104171.
- Année de publication : 2020
- Auteurs : Ben Azzouz F, Michel B, Lasla H, Gouraud W, François AF, Girka F, Lecointre T, Guérin-Charbonnel C, Juin PP, Campone M, Jézéquel P.
- Réseaux : Réseaux: « Cancers des Tissus Hormono-dépendants »