Άρθρα με εντολές δημόσιας πρόσβασης - Alexander PartinΜάθετε περισσότερα
Διαθέσιμο κάπου: 15
Converting tabular data into images for deep learning with convolutional neural networks
Y Zhu, T Brettin, F Xia, A Partin, M Shukla, H Yoo, YA Evrard, ...
Scientific reports 11 (1), 11325, 2021
Εντολές: US Department of Energy, US National Institutes of Health
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
Εντολές: US Department of Energy, US National Institutes of Health
A cross-study analysis of drug response prediction in cancer cell lines
F Xia, J Allen, P Balaprakash, T Brettin, C Garcia-Cardona, A Clyde, ...
Briefings in bioinformatics 23 (1), bbab356, 2022
Εντολές: US Department of Energy, US National Institutes of Health
Ensemble transfer learning for the prediction of anti-cancer drug response
Y Zhu, T Brettin, YA Evrard, A Partin, F Xia, M Shukla, H Yoo, ...
Scientific reports 10 (1), 18040, 2020
Εντολές: US Department of Energy, US National Institutes of Health
Elasticity estimates from images of crawling waves generated by miniature surface sources
A Partin, Z Hah, CT Barry, DJ Rubens, KJ Parker
Ultrasound in medicine & biology 40 (4), 685-694, 2014
Εντολές: US National Institutes of Health
Impeccable: Integrated modeling pipeline for covid cure by assessing better leads
AA Saadi, D Alfe, Y Babuji, A Bhati, B Blaiszik, A Brace, T Brettin, K Chard, ...
Proceedings of the 50th International Conference on Parallel Processing, 1-12, 2021
Εντολές: US Department of Energy, US National Institutes of Health, UK Medical …
Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning-and physics-based simulations on high-performance computers
AP Bhati, S Wan, D Alfè, AR Clyde, M Bode, L Tan, M Titov, A Merzky, ...
Interface focus 11 (6), 20210018, 2021
Εντολές: US Department of Energy, US National Institutes of Health, UK Medical …
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection
A Clyde, X Liu, T Brettin, H Yoo, A Partin, Y Babuji, B Blaiszik, ...
Scientific reports 13 (1), 2105, 2023
Εντολές: US Department of Energy
Learning curves for drug response prediction in cancer cell lines
A Partin, T Brettin, YA Evrard, Y Zhu, H Yoo, F Xia, S Jiang, A Clyde, ...
BMC bioinformatics 22, 1-18, 2021
Εντολές: US Department of Energy, US National Institutes of Health
Enhanced co-expression extrapolation (COXEN) gene selection method for building anti-cancer drug response prediction models
Y Zhu, T Brettin, YA Evrard, F Xia, A Partin, M Shukla, H Yoo, ...
Genes 11 (9), 1070, 2020
Εντολές: US Department of Energy, US National Institutes of Health
Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images
A Partin, T Brettin, Y Zhu, JM Dolezal, S Kochanny, AT Pearson, M Shukla, ...
Frontiers in Medicine 10, 1058919, 2023
Εντολές: US Department of Energy, US National Institutes of Health
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
Εντολές: US Department of Energy, US National Institutes of Health
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
Εντολές: US Department of Energy, US National Institutes of Health
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
Εντολές: US Department of Energy
An Automation Framework for Comparison of Cancer Response Models Across Configurations
JM Wozniak, R Jain, A Wilke, R Weaver, A Partin, T Brettin, R Stevens
2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023
Εντολές: US Department of Energy
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