Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches
Fadoua Ben Azzouz, Bertrand Michel, Hamza Lasla, Wilfried Gouraud, Anne-Flore François, Fabien Girka, Théo Lecointre, Catherine Guérin‐Charbonnel, Philippe Paul Juin, Mario Campone, Pascal Jézéquel
The paper develops a machine learning predictor for TNBC subtyping using a limited number of probes, achieving better performance with gradient boosting.
Computers in Biology and Medicine · Feb 1, 2021Peer-reviewedBioinformatics