Multitask learning improves prediction of cancer drug sensitivity
Han Yuan(Duke-NUS Medical School), Christina S. Leslie(Memorial Sloan Kettering Cancer Center), Ivan Paskov(Stanford University), Hristo S. Paskov(Stanford University), Álvaro González(Memorial Sloan Kettering Cancer Center)
Cited by 110
Related Papers
Cancer Immunosurveillance by Tissue-Resident Innate Lymphoid Cells and Innate-like T Cells
|Cell|2016|349
The SWI/SNF Protein PBRM1 Restrains VHL-Loss-Driven Clear Cell Renal Cell Carcinoma
|Cell Reports|2017|227
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
|Journal of Biomedical Informatics|2021|142
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
|Artificial Intelligence in Medicine|2023|129
A Collaborative V2X Data Correction Method for Road Safety
|IEEE Transactions on Reliability|2022|109