Παρακολούθηση
Oleksandr Narykov
Oleksandr Narykov
Postdoctoral Appointee, Argonne National Laboratory
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα anl.gov - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Assessment of network module identification across complex diseases
S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ...
Nature methods 16 (9), 843-852, 2019
3172019
Structural genomics of SARS-CoV-2 indicates evolutionary conserved functional regions of viral proteins
S Srinivasan, H Cui, Z Gao, M Liu, S Lu, W Mkandawire, O Narykov, ...
Viruses 12 (4), 360, 2020
309*2020
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A Partin, TS Brettin, Y Zhu, O Narykov, A Clyde, J Overbeek, RL Stevens
Frontiers in medicine 10, 1086097, 2023
742023
Molecular architecture and dynamics of SARS-CoV-2 envelope by integrative modeling
W Pezeshkian, F Grünewald, O Narykov, S Lu, V Arkhipova, ...
Structure 31 (4), 492-503. e7, 2023
482023
Single-cell long-read sequencing-based mapping reveals specialized splicing patterns in developing and adult mouse and human brain
A Joglekar, W Hu, B Zhang, O Narykov, M Diekhans, J Marrocco, ...
Nature neuroscience, 1-13, 2024
35*2024
Computational protein modeling and the next viral pandemic
O Narykov, S Srinivasan, D Korkin
Nature methods 18 (5), 444-445, 2021
142021
Predicting Protein Interaction Network Perturbation by Alternative Splicing with Semi-Supervised Learning
O Narykov, NT Johnson, D Korkin
Cell Reports 37 (Issue 8), 110045, 2021
10*2021
DISPOT: a simple knowledge-based protein domain interaction statistical potential
O Narykov, D Bogatov, D Korkin
Bioinformatics 35 (24), 5374-5378, 2019
102019
Integration of computational docking into anti-cancer drug response prediction models
O Narykov, Y Zhu, T Brettin, YA Evrard, A Partin, M Shukla, F Xia, A Clyde, ...
Cancers 16 (1), 50, 2023
42023
A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening
P Vasanthakumari, Y Zhu, T Brettin, A Partin, M Shukla, F Xia, O Narykov, ...
Cancers 16 (3), 530, 2024
32024
Structural Genomics and Interactomics of SARS-COV2: Decoding Basic Building Blocks of the Coronavirus
Z Gao, S Lu, O Narykov, S Srinivasan, D Korkin
Virus Bioinformatics, 121-139, 2021
22021
Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
O Narykov
Worcester Polytechnic Institute, 2022
12022
The Hallmarks of Predictive Oncology
A Singhal, X Zhao, P Wall, E So, G Calderini, A Partin, N Koussa, ...
Cancer Discovery 15 (2), 271-285, 2025
2025
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
JC Overbeek, A Partin, TS Brettin, N Chia, O Narykov, P Vasanthakumari, ...
arXiv preprint arXiv:2409.12215, 2024
2024
Data Imbalance in Drug Response Prediction-Multi-Objective Optimization Approach in Deep Learning Setting
O Narykov, Y Zhu, T Brettin, YA Evrard, A Partin, F Xia, M Shukla, ...
bioRxiv, 2024.03. 14.585074, 2024
2024
2023 AI Testbed Expeditions Report
V Vishwanath, M Emani, V Sastry, W Arnold, R Thakur, V Taylor, I Foster, ...
Argonne National Laboratory (ANL), Argonne, IL (United States). Argonne …, 2023
2023
Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction
O Narykov, Y Zhu, T Brettin, Y Evrard, A Partin, M Shukla, ...
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
2023
Influencing factors on false positive rates when classifying tumor cell line response to drug treatment
P Vasanthakumari, T Brettin, Y Zhu, H Yoo, M Shukla, A Partin, F Xia, ...
arXiv preprint arXiv:2310.11329, 2023
2023
Systematic evaluation and comparison of drug response prediction models: a case study of prediction generalization across cell lines datasets
A Partin, TS Brettin, Y Zhu, J Overbeek, O Narykov, P Vasanthakumari, ...
Cancer Research 83 (7_Supplement), 5380-5380, 2023
2023
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