| 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 | 139 | 2021 |
| Mouse liver dispersion for the diagnosis of early-stage fatty liver disease: A 70-sample study CT Barry, Z Hah, A Partin, RA Mooney, KH Chuang, A Augustine, ... Ultrasound in medicine & biology 40 (4), 704-713, 2014 | 82 | 2014 |
| 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 | 53 | 2020 |
| 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 | 52 | 2022 |
| 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 | 46 | 2014 |
| What do we know about shear wave dispersion in normal and steatotic livers? KJ Parker, A Partin, DJ Rubens Ultrasound in Medicine & Biology 41 (5), 1481-1487, 2015 | 45 | 2015 |
| 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 | 36 | 2023 |
| 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 | 36 | 2021 |
| Shear wave dispersion in lean versus steatotic rat livers CT Barry, C Hazard, Z Hah, G Cheng, A Partin, RA Mooney, KH Chuang, ... Journal of Ultrasound in Medicine 34 (6), 1123-1129, 2015 | 36 | 2015 |
| 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 | 34 | 2021 |
| 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 | 21 | 2021 |
| Publisher Correction: 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, 2021 | 17 | 2021 |
| 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 | 14 | 2023 |
| Color image modification with approximation function A Partin, III Kimball Darr Thurston, G Georgiadis US Patent 10,713,765, 2020 | 12 | 2020 |
| 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 | 11 | 2020 |
| A systematic approach to featurization for cancer drug sensitivity predictions with deep learning A Clyde, T Brettin, A Partin, M Shaulik, H Yoo, Y Evrard, Y Zhu, F Xia, ... arXiv preprint arXiv:2005.00095, 2020 | 8 | 2020 |
| 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 | 7 | 2023 |
| Protein-ligand docking surrogate models: A sars-cov-2 benchmark for deep learning accelerated virtual screening A Clyde, T Brettin, A Partin, H Yoo, Y Babuji, B Blaiszik, A Merzky, M Turilli, ... arXiv preprint arXiv:2106.07036, 2021 | 7 | 2021 |
| Detection of steatosis through shear speed dispersion: a rat study CT Barry, C Hazard, G Cheng, Z Hah, A Partin, K Chuang, RA Mooney, ... Proceedings, American Institute of Ultrasound in Medicine Annual Convention, 2014 | 5 | 2014 |
| 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 | 3 | 2023 |
Thomas BrettinArgonne National Laboratory and University of Chicago在 anl.gov 的电子邮件经过验证
