| DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction N Thapa, M Chaudhari, S McManus, K Roy, RH Newman, H Saigo, DB Kc BMC bioinformatics 21 (3), 1-10, 2020 | 54 | 2020 |
| Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology AJ Green, MJ Mohlenkamp, J Das, M Chaudhari, L Truong, RL Tanguay, ... PLoS Computational Biology 17 (7), e1009135, 2021 | 28 | 2021 |
| DeepRMethylSite: A deep learning based approach for prediction of arginine methylation sites in proteins M Chaudhari, N Thapa, K Roy, RH Newman, H Saigo, BKC Dukka Molecular Omics 16 (5), 448-454, 2020 | 23 | 2020 |
| DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites M Chaudhari, N Thapa, H Ismail, S Chopade, D Caragea, M Köhn, ... Frontiers in Cell and Developmental Biology 9, 1524, 2021 | 16 | 2021 |
| A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites N Thapa, M Chaudhari, AA Iannetta, C White, K Roy, RH Newman, ... Scientific reports 11 (1), 1-12, 2021 | 14 | 2021 |
| Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies S Busato, M Gordon, M Chaudhari, I Jensen, T Akyol, S Andersen, ... Current Opinion in Plant Biology 71, 102326, 2023 | 11 | 2023 |
| LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model SC Pakhrin, S Pokharel, P Pratyush, M Chaudhari, HD Ismail, DB Kc Journal of proteome research, 2023 | 5 | 2023 |
| Comparative analysis of methods for distribution of certificate revocation information in mobile environment M Ingle, M Kumar 2011 International Conference on Communication Systems and Network …, 2011 | 5 | 2011 |
| Push Technique Based Certificate Revocation Model for Mobile Devices M Ingle, M Kumar 2011 International Conference on Computational Intelligence and …, 2011 | 2 | 2011 |
| Hydrogen peroxide-dependent oxidation of ERK2 within its D-recruitment site alters its substrate selection AE Postiglione, LL Adams, ES Ekhator, AE Odelade, S Patwardhan, ... Iscience 26 (10), 2023 | 1 | 2023 |
| Presentation attack detection: an analysis of spoofing in the wild (SiW) dataset using deep learning models N Thapa, M Chaudhari, K Roy Discover Artificial Intelligence 3 (1), 30, 2023 | | 2023 |
