| Learning the mental health impact of COVID-19 in the United States with explainable artificial intelligence: observational study IP Jha, R Awasthi, A Kumar, V Kumar, T Sethi JMIR mental health 8 (4), e25097, 2021 | 51 | 2021 |
| Explainable-machine-learning to discover drivers and to predict mental illness during COVID-19 IP Jha, R Awasthi, A Kumar, V Kumar, T Sethi | 11 | 2020 |
| Learning the Mental Health Impact of COVID-19 in the United States with Explainable Artificial Intelligence TS Indra Prakash Jha, Raghav Awasthi, Ajit Kumar, Vibhor Kumar MedRxiv, 2020 | 5 | 2020 |
| Local-topology-based scaling for distance preserving dimension reduction method to improve classification of biomedical data-sets K Khosla, IP Jha, A Kumar, V Kumar Algorithms 13 (8), 192, 2020 | 4 | 2020 |
| Associating pathways with diseases using single-cell expression profiles and making inferences about potential drugs M Sharma, IP Jha, S Chawla, N Pandey, O Chandra, S Mishra, V Kumar Briefings in Bioinformatics 23 (4), bbac241, 2022 | 2 | 2022 |
| Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis S Mishra, N Pandey, S Chawla, M Sharma, O Chandra, IP Jha, ... Genome Research 33 (2), 218-231, 2023 | | 2023 |
| Deciphering the phenotypic heterogeneity and drug response in cancer cells using activity and interactions in chromatin domains N Pandey, M Sharma, A Mathur, CG Anene-Nzel, M Hakimullah, P Patel, ... bioRxiv, 2023.01. 15.524115, 2023 | | 2023 |
| Patterns of transcription factor binding and epigenome at promoters allow interpretable predictability of multiple functions of non-coding and coding genes O Chandra, M Sharma, N Pandey, IP Jha, S Mishra, SL Kong, V Kumar Computational and Structural Biotechnology Journal 21, 3590-3603, 2023 | | 2023 |
| Stratified assessment for geriatric mental health using probabilistic graphical model: a cross-sectional observational study in India IP Jha, S Mishra, N Pandey, V Kumar medRxiv, 2023.03. 26.23287749, 2023 | | 2023 |
| Deciphering the phenotypic heterogeneity and drug response in cancer cells using genome-wide activity and interaction of chromatin domains. N Pandey, M Sharma, A Mathur, CG Anene-Nzel, M Hakimullah, IP Jha, ... bioRxiv, 2023 | | 2023 |
| Inferring functions of coding and non-coding genes using epigenomic patterns and deciphering the effect of combinatorics of transcription factors binding at promoters O Chandra, M Sharma, N Pandey, IP Jha, S Mishra, SL Kong, V Kumar bioRxiv, 2022.04. 17.488570, 2022 | | 2022 |
| Explainable-Machine-Learning to discover drivers and to predict mental illness during COVID-19 (preprint) IP Jha, R Awasthi, A Kumar, V Kumar, T Sethi | | 2020 |
| Distance preserving dimension reduction with local-topology based scaling for improved classification of Biomedical data-sets K Khosla, IP Jha, V Kumar bioRxiv, 2019.12. 27.889337, 2019 | | 2019 |
