Author

Pritam Mukherjee

Stanford MedicineORCID 0000-0002-9975-9994Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aayush Kumar TyagiiD· 1 shared AP Prathosh· 1 shared Mayur Dashrath DivateiD· 1 shared Olivier GevaertiD· 1 shared Shivashankar Hiriyur NagarajiD· 1 shared Shrey SukhadiaiD· 1 shared Soumyajit MandaliD· 1 shared Vivek VenkataramaniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aayush Kumar TyagiORCID

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2 papers

Recent·Most cited

Systematic Data-Driven Penalty Calibration for Constrained Quantum Optimization with Application to Molecular Docking

Soumyajit Mandal, Pritam Mukherjee

This paper introduces MMP, a framework for quantum optimization of molecular docking by systematically calibrating penalties using data-driven methods, achieving high solution validity and quality improvements.

bioRxiv · Jan 30, 2026 · PreprintBioinformatics

ImaGene: A web-based software platform for tumor radiogenomic evaluation and reporting

Shrey Sukhadia, Aayush Kumar Tyagi, Vivek Venkataraman, Pritam Mukherjee, AP Prathosh, Mayur Dashrath Divate, Olivier Gevaert, Shivashankar Hiriyur Nagaraj

ImaGene is a web-based platform for radiogenomic analysis that correlates tumor imaging and omics data, identifies gene-imaging feature associations, and generates diagnostic reports.

Bioinformatics Advances · Jan 1, 2022Peer-reviewedBioinformatics