Jha IP[au] - Search Results

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2021	1
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2023	2

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Associating pathways with diseases using single-cell expression profiles and making inferences about potential drugs.

Sharma M, Jha IP, Chawla S, Pandey N, Chandra O, Mishra S, Kumar V. Sharma M, et al. Among authors: jha ip. Brief Bioinform. 2022 Jul 18;23(4):bbac241. doi: 10.1093/bib/bbac241. Brief Bioinform. 2022. PMID: 35772850

Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis.

Mishra S, Pandey N, Chawla S, Sharma M, Chandra O, Jha IP, SenGupta D, Natarajan KN, Kumar V. Mishra S, et al. Among authors: jha ip. Genome Res. 2023 Feb;33(2):218-231. doi: 10.1101/gr.277015.122. Epub 2023 Jan 18. Genome Res. 2023. PMID: 36653120 Free PMC article.

Patterns of transcription factor binding and epigenome at promoters allow interpretable predictability of multiple functions of non-coding and coding genes.

Chandra O, Sharma M, Pandey N, Jha IP, Mishra S, Kong SL, Kumar V. Chandra O, et al. Among authors: jha ip. Comput Struct Biotechnol J. 2023 Jul 14;21:3590-3603. doi: 10.1016/j.csbj.2023.07.014. eCollection 2023. Comput Struct Biotechnol J. 2023. PMID: 37520281 Free PMC article.

Learning the Mental Health Impact of COVID-19 in the United States With Explainable Artificial Intelligence: Observational Study.

Jha IP, Awasthi R, Kumar A, Kumar V, Sethi T. Jha IP, et al. JMIR Ment Health. 2021 Apr 20;8(4):e25097. doi: 10.2196/25097. JMIR Ment Health. 2021. PMID: 33877051 Free PMC article.

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