Machine learning classifier approaches for predicting response to RTK-type-III inhibitors demonstrate high accuracy using transcriptomic signatures and ex vivo data.

Bioinformatics advances
2023
https://researcherprofiles.org/profile/410620423
37250111
Ferrato MH, Marsh AG, Franke KR, Huang BJ, Kolb EA, DeRyckere D, Grahm DK, Chandrasekaran S, Crowgey EL