| Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks O Bazgir, R Zhang, SR Dhruba, R Rahman, S Ghosh, R Pal Nature communications 11 (1), 1-13, 2020 | 109 | 2020 |
| Functional random forest with applications in dose-response predictions R Rahman, SR Dhruba, S Ghosh, R Pal Scientific reports 9 (1), 1628, 2019 | 63 | 2019 |
| Application of transfer learning for cancer drug sensitivity prediction SR Dhruba, R Rahman, K Matlock, S Ghosh, R Pal BMC bioinformatics 19, 51-63, 2018 | 37 | 2018 |
| Evaluating the consistency of large-scale pharmacogenomic studies R Rahman, SR Dhruba, K Matlock, C De-Niz, S Ghosh, R Pal Briefings in Bioinformatics 20 (5), 1734-1753, 2019 | 15 | 2019 |
| Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes N Welch, SS Singh, A Kumar, SR Dhruba, S Mishra, J Sekar, A Bellar, ... Journal of Biological Chemistry 297 (3), 2021 | 12 | 2021 |
| Tuning force field parameters of ionic liquids using machine learning techniques R Islam, MF Kabir, SR Dhruba, K Afroz Computational Materials Science 200, 110759, 2021 | 10 | 2021 |
| Active shooter detection in multiple-person scenario using RF-based machine vision O Bazgir, D Nolte, SR Dhruba, Y Li, C Li, S Ghosh, R Pal IEEE Sensors Journal 21 (3), 3609-3622, 2020 | 10 | 2020 |
| PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors S Sinha, R Vegesna, S Mukherjee, AV Kammula, SR Dhruba, W Wu, ... Nature Cancer, 1-15, 2024 | 7 | 2024 |
| Dimensionality reduction based transfer learning applied to pharmacogenomics databases SR Dhruba, R Rahmanl, K Matlockl, S Ghosh, R Pal 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 7 | 2018 |
| Recursive model for dose-time responses in pharmacological studies SR Dhruba, A Rahman, R Rahman, S Ghosh, R Pal BMC bioinformatics 20, 1-12, 2019 | 6 | 2019 |
| An investigation of proteomic data for application in precision medicine K Matlock, SR Dhruba, M Nazir, R Pal 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 4 | 2018 |
| Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors S Sinha, R Vegesna, SR Dhruba, W Wu, DL Kerr, OV Stroganov, ... bioRxiv, 2022.01. 11.475728, 2022 | 2 | 2022 |
| LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features TG Chang, Y Cao, HJ Sfreddo, SR Dhruba, SH Lee, C Valero, SK Yoo, ... Nature Cancer, 1-18, 2024 | 1 | 2024 |
| Application of advanced machine learning based approaches in cancer precision medicine SR Dhruba | 1 | 2021 |
| The expression patterns of different cell types and their interactions in the tumor microenvironment are predictive of breast cancer patient response to neoadjuvant chemotherapy E Ruppin, SR Dhruba, S Sahni, B Wang, D Wu, P Rajagopal, ... | | 2024 |
| Abstract LB002: Deactivation of ligand-receptor interactions enhancing lymphocyte infiltration drives melanoma resistance to immune checkpoint blockade S Sahni, B Wang, D Wu, SR Dhruba, M Nagy, S Patkar, I Ferreira, K Wang, ... Cancer Research 84 (7_Supplement), LB002-LB002, 2024 | | 2024 |
| Abstract LB245: Single cell guided identification of logic-gated cell surface combinations for selective and safe CAR therapy design S Madan, T Chang, B Wang, SR Dhruba, AA Schäffer, E Ruppin Cancer Research 84 (7_Supplement), LB245-LB245, 2024 | | 2024 |
| Abstract LB242: Prediction of patient response to neoadjuvant chemotherapy in breast cancer from their deconvolved tumor microenvironment transcriptome SR Dhruba, S Sahni, B Wang, D Wu, Y Schmidt, E Shulman, S Sinha, ... Cancer Research 84 (7_Supplement), LB242-LB242, 2024 | | 2024 |
| Cell-type-specific transcriptomic immune aging clocks reveal clinically relevant associations with chronic illnesses including cancer Y Gurevich-Schmidt, K Wang, D Wu, S Madan, V Gopalan, S Sinha, ... Cancer Research 84 (6_Supplement), 1411-1411, 2024 | | 2024 |
| The expression patterns of different cell types and their interactions in the tumor microenvironment are predictive of breast cancer patient response to neoadjuvant chemotherapy SR Dhruba, S Sahni, B Wang, D Wu, PS Rajagopal, Y Schmidt, ... bioRxiv, 2024.06. 14.598770, 2024 | | 2024 |
Ranadip PalTexas Tech University在 ttu.edu 的电子邮件经过验证
