Yvonne A. Evrard

According to our database, Yvonne A. Evrard authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting.

Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick L. Stevens

Briefings Bioinform., March, 2025

2024

STRprofiler: efficient comparisons of short tandem repeat profiles for biomedical model authentication.

Jared M. Andrews, Michael W. Lloyd, Steven B. Neuhauser, Margaret Bundy, Emily L. Jocoy, Susan D. Airhart, Carol J. Bult, Yvonne A. Evrard, Jeffrey H. Chuang, Suzanne Baker

Bioinform., 2024

2023

Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction.

Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

A cross-study analysis of drug response prediction in cancer cell lines.

Fangfang Xia, Jonathan E. Allen, Prasanna Balaprakash, Thomas S. Brettin, Cristina Garcia-Cardona, Austin Clyde, Judith D. Cohn, James H. Doroshow, Xiaotian Duan, Veronika Dubinkina, Yvonne A. Evrard, Ya Ju Fan, Jason Gans, Stewart He, Pinyi Lu, Sergei Maslov, Alexander Partin, Maulik Shukla, Eric A. Stahlberg, Justin M. Wozniak, Hyun Seung Yoo, George F. Zaki, Yitan Zhu, Rick Stevens

Briefings Bioinform., 2022

2021

Learning curves for drug response prediction in cancer cell lines.

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 L. Stevens

BMC Bioinform., 2021

2020

Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response.

Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens

CoRR, 2020

A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning.

Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens

CoRR, 2020

2018

Predicting tumor cell line response to drug pairs with deep learning.

Fangfang Xia, Maulik Shukla, Thomas S. Brettin, Cristina Garcia-Cardona, Judith D. Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens

BMC Bioinform., 2018