Two-Step Transfer Learning Improves Deep Learning–Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma

Two-Step Transfer Learning Improves Deep Learning–Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma

While deep learning (DL) is used in patients’ outcome predictions, the insufficiency of patient samples limits the accuracy. In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL framework was constructed for a difficult task: predicting the...

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Bibliographic Details
Main Authors: Jie Ju, Ioannis Ntafoulis, Michelle Klein, Marcel JT Reinders, Martine Lamfers, Andrew P Stubbs, Yunlei Li
Format: Article
Language:English
Published: SAGE Publishing 2025-01-01
Series:Bioinformatics and Biology Insights
Online Access:https://doi.org/10.1177/11779322241301507
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