Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh Carmody, Ben D Coleman, Joshy George, Justin Reese, Marcin P. Joachimiak, Giovanni Bocci, Peter Hansen, Carol J. Bult, Jens Rueter, Elena Casiraghi, Giorgio Valentini, , Peter N. Robinson
The paper uses word embeddings from PubMed to predict which protein kinases are relevant for treating specific cancers using machine learning.
NAR Genomics and Bioinformatics · Oct 4, 2021Peer-reviewedBioinformatics