Author

Ranadip Pal

Texas Tech UniversityORCID 0000-0002-9311-5901Unclaimed 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:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Souparno GhoshiD· 2 shared Atiya MansooriD· 1 shared Brian S. HernandeziD· 1 shared Carol J. BultiD· 1 shared Charles KelleriD· 1 shared Elaine HuangiD· 1 shared Erin Wise· 1 shared Jinu AbrahamiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Souparno GhoshORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of CheminformaticsPeer-reviewedAug 28, 2025

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.

1 citation

humanstatistical model

𝕏 PostBluesky

BioinformaticsBMC CancerPeer-reviewedJun 17, 2019

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

Noah Berlow, Rishi Raj Rikhi, Mathew N. Geltzeiler…·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.

21 citations

mousebulk RNA-seq

𝕏 PostBluesky