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Krishan Gupta

Showing results (21-30 of 31) with videos related to

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Briefings in Functional Genomics|December 21, 2022
Transcriptional advantage influence odorant receptor gene choiceSanjay Kumar Mohanty, Sidrah Maryam, Vishakha Gautam, et al.
Arteriosclerosis, Thrombosis, and Vascular Biology|September 11, 2025
Single-Cell Analysis Reveals a Critical Role for Macrophage Epsins in Regulating the Origin of Foam Cells in AtherosclerosisKulandaisamy Arulsamy, Kui Cui, Bo Zhu, et al.
Genome Research|March 6, 2021
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq dataKrishan Gupta, Manan Lalit, Aditya Biswas, et al.
Nephrology (Carlton, Vic.)|June 24, 2016
Primary membranous nephropathy in adolescence: A prospective studyVinod Kumar, Ashwani Kumar Varma, Ritambhra Nada, et al.
Briefings in Bioinformatics|October 6, 2025
Network based simultaneous embedding of cells and marker genes from scRNA-seq studiesNamrata Bhattacharya, Swagatam Chakraborti, Stuti Kumari, et al.
The Journal of Biological Chemistry|July 15, 2021
OdoriFy: A conglomerate of artificial intelligence-driven prediction engines for olfactory decodingRia Gupta, Aayushi Mittal, Vishesh Agrawal, et al.
Circulation|March 25, 2026
Recovery From Heart Failure: Microvascular MechanismsShuang Li, Krishan Gupta, Rajul K Ranka, et al.
Bioinformatics (Oxford, England)|January 8, 2021
Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory researchAnku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, et al.
Journal of Clinical Medicine|April 26, 2020
Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor CellsArvind Iyer, Krishan Gupta, Shreya Sharma, et al.
Journal of Clinical Medicine|January 22, 2021
Erratum: Iyer, A., et al. Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells. <i>J. Clin. Med.</i> 2020, <i>9</i>, 1206Arvind Iyer, Krishan Gupta, Shreya Sharma, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Briefings in Functional Genomics|December 21, 2022
Transcriptional advantage influence odorant receptor gene choiceSanjay Kumar Mohanty, Sidrah Maryam, Vishakha Gautam, et al.
Arteriosclerosis, Thrombosis, and Vascular Biology|September 11, 2025
Single-Cell Analysis Reveals a Critical Role for Macrophage Epsins in Regulating the Origin of Foam Cells in AtherosclerosisKulandaisamy Arulsamy, Kui Cui, Bo Zhu, et al.
Genome Research|March 6, 2021
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq dataKrishan Gupta, Manan Lalit, Aditya Biswas, et al.
Nephrology (Carlton, Vic.)|June 24, 2016
Primary membranous nephropathy in adolescence: A prospective studyVinod Kumar, Ashwani Kumar Varma, Ritambhra Nada, et al.
Briefings in Bioinformatics|October 6, 2025
Network based simultaneous embedding of cells and marker genes from scRNA-seq studiesNamrata Bhattacharya, Swagatam Chakraborti, Stuti Kumari, et al.
The Journal of Biological Chemistry|July 15, 2021
OdoriFy: A conglomerate of artificial intelligence-driven prediction engines for olfactory decodingRia Gupta, Aayushi Mittal, Vishesh Agrawal, et al.
Circulation|March 25, 2026
Recovery From Heart Failure: Microvascular MechanismsShuang Li, Krishan Gupta, Rajul K Ranka, et al.
Bioinformatics (Oxford, England)|January 8, 2021
Machine-OlF-Action: a unified framework for developing and interpreting machine-learning models for chemosensory researchAnku Gupta, Mohit Choudhary, Sanjay Kumar Mohanty, et al.
Journal of Clinical Medicine|April 26, 2020
Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor CellsArvind Iyer, Krishan Gupta, Shreya Sharma, et al.
Journal of Clinical Medicine|January 22, 2021
Erratum: Iyer, A., et al. Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells. <i>J. Clin. Med.</i> 2020, <i>9</i>, 1206Arvind Iyer, Krishan Gupta, Shreya Sharma, et al.
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