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Reva Kulkarni

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Tensor decomposition to identify context-aware spatial neighborhoods in the tumor microenvironmentReva Kulkarni, Gauri Patel, Joel Eliason, et al.
NPJ Artificial Intelligence|January 19, 2026
A multimodal framework to identify molecular mechanisms driving patient group-associated morphology through the integration of spatial transcriptomics and whole slide imagingReva Kulkarni, Avery Maddox, Sara Bailey, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 30, 2026
From Raw Data to Biological Insights: A Practical Guide for Spatial Transcriptomics Analysis in R and PythonAhmed M Elhossiny, Reva Kulkarni, Arvind Rao, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Spatial transcriptomics of glioblastoma defines biologically and clinically significant reprogramming patterns across unique spatial microenvironmentsVisweswaran Ravikumar, Avery Maddox, Reva Kulkarni, et al.
NPJ Artificial Intelligence|March 5, 2026
Encoding functional edges in graphs to model spatially varying relationships in the tumor microenvironmentAshley P Tsang, Santhoshi N Krishnan, Reva Kulkarni, et al.
Nature Metabolism|September 21, 2022
Metabolic collateral lethal target identification reveals MTHFD2 paralogue dependency in ovarian cancerAbhinav Achreja, Tao Yu, Anjali Mittal, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Tensor decomposition to identify context-aware spatial neighborhoods in the tumor microenvironmentReva Kulkarni, Gauri Patel, Joel Eliason, et al.
NPJ Artificial Intelligence|January 19, 2026
A multimodal framework to identify molecular mechanisms driving patient group-associated morphology through the integration of spatial transcriptomics and whole slide imagingReva Kulkarni, Avery Maddox, Sara Bailey, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 30, 2026
From Raw Data to Biological Insights: A Practical Guide for Spatial Transcriptomics Analysis in R and PythonAhmed M Elhossiny, Reva Kulkarni, Arvind Rao, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Spatial transcriptomics of glioblastoma defines biologically and clinically significant reprogramming patterns across unique spatial microenvironmentsVisweswaran Ravikumar, Avery Maddox, Reva Kulkarni, et al.
NPJ Artificial Intelligence|March 5, 2026
Encoding functional edges in graphs to model spatially varying relationships in the tumor microenvironmentAshley P Tsang, Santhoshi N Krishnan, Reva Kulkarni, et al.
Nature Metabolism|September 21, 2022
Metabolic collateral lethal target identification reveals MTHFD2 paralogue dependency in ovarian cancerAbhinav Achreja, Tao Yu, Anjali Mittal, et al.
Pageof 1