Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction

Large-scale databases that report the inhibitory capacities of many combinations of candidate drug compounds and cultivated cancer cell lines have driven the development of preclinical drug-sensitivity models based on machine learning. However, cultivated cell lines have devolved from human cancer c...

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Bibliographic Details
Main Authors: Paul Prasse, Pascal Iversen, Matthias Lienhard, Kristina Thedinga, Ralf Herwig, Tobias Scheffer
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/14/16/3950