Author

Souparno Ghosh

Massachusetts Institute of TechnologyORCID 0000-0002-4953-1019Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Ranadip PaliD· 2 shared Alan JasanoffiD· 1 shared Atiya MansooriD· 1 shared Benjamin B. BartelleiD· 1 shared Brian S. HernandeziD· 1 shared Carol J. BultiD· 1 shared Charles KelleriD· 1 shared Elaine HuangiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Ranadip PalORCID

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3 papers

Recent·Most cited

AdapToR: Adaptive Topological Regression for quantitative structure-activity relationship modeling

Yixiang Mao, Souparno Ghosh, Ranadip Pal

AdapToR improves QSAR modeling by enhancing interpretability and efficiency in drug response prediction.

Journal of Cheminformatics · Aug 28, 2025Peer-reviewedBioinformatics

Functional dissection of neural circuitry using a genetic reporter for fMRI

Souparno Ghosh, Nan Li, Miriam Schwalm, Benjamin B. Bartelle, Tianshu Xie, Jade I. Daher, Urvashi D. Singh, Katherine Xie, Nicholas DiNapoli, Nicholas B. Evans, Kwanghun Chung, Alan Jasanoff

This paper introduces a genetic probe to selectively image neural circuits in rats using fMRI, revealing diverse projection sources to the striatum and informing a model of striatal function.

Nature Neuroscience · Mar 1, 2022Peer-reviewedNeuroscience

Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma

Noah Berlow, Rishi Raj Rikhi, Mathew N. Geltzeiler, Jinu Abraham, Matthew N. Svalina, Lara Emily Davis, Erin Wise, Maria Mancini, Jonathan Christopher Noujaim, Atiya Mansoor, Michael J. Quist, Kevin L. Matlock, Martin W. Goros, Brian S. Hernandez, Yee C. Doung, , Charles Keller

This paper develops a probabilistic model integrating sequencing and functional assay data to predict personalized drug combinations for sarcoma patients with exhausted treatment options.

BMC Cancer · Jun 17, 2019Peer-reviewedBioinformatics