Oleksandr Narykov

According to our database, Oleksandr Narykov authored at least 4 papers between 2019 and 2024.

Collaborative distances:

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

2024

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.

Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens

CoRR, 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

Deep learning methods for drug response prediction in cancer: predominant and emerging trends.

Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie C. Overbeek, Rick L. Stevens

CoRR, 2022

2019

DISPOT: a simple knowledge-based protein domain interaction statistical potential.

Oleksandr Narykov, Dmytro Bogatov, Dmitry Korkin

Bioinform., 2019