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Yvonne A. Evrard
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2020 – today
- 2023
- [c1]Oleksandr Narykov
, Yitan Zhu
Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. SC Workshops 2023: 121-122 - 2022
- [j3]Fangfang Xia, Jonathan E. Allen
A cross-study analysis of drug response prediction in cancer cell lines. Briefings Bioinform. 23(1) (2022) - 2021
- [j2]Alexander Partin
Learning curves for drug response prediction in cancer cell lines. BMC Bioinform. 22(1): 252 (2021) - 2020
- [i3]Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens:
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning. CoRR abs/2005.00095 (2020) - [i2]Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens:
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response. CoRR abs/2005.09572 (2020) - [i1]Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick Stevens:
Learning Curves for Drug Response Prediction in Cancer Cell Lines. CoRR abs/2011.12466 (2020)
2010 – 2019
- 2018
- [j1]Fangfang Xia, Maulik Shukla
Predicting tumor cell line response to drug pairs with deep learning. BMC Bioinform. 19-S(18): 71-79 (2018)
Coauthor Index
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