Author

Isha Arora

Columbia UniversityORCID 0009-0003-4630-3795Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Alexander Preau· 1 shared Arkadij KummeriD· 1 shared Benjamin IzariD· 1 shared Edison OngiD· 1 shared Edridge K. D’SouzaiD· 1 shared Elham AziziiD· 1 shared Eric J. MaiD· 1 shared Gwo‐Yu ChuangiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Alexander Preau

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 15, 2024

Echidna: A Bayesian framework for quantifying gene dosage effect impacting phenotypic plasticity

Joy Linyue Fan, Mingxuan Zhang, William O’Brien…·Elham Azizi

Echidna quantifies gene dosage effects on phenotypic plasticity by integrating scRNA-seq and WGS data to separate genetic from cell non-autonomous mechanisms.

2 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsComputers in Biology and MedicinePeer-reviewedFeb 10, 2024

mtx-COBRA: Subcellular localization prediction for bacterial proteins

Isha Arora, Arkadij Kummer, Hao Zhou…·Edison Ong

mtx-COBRA improves subcellular localization prediction for bacterial proteins, outperforming PSORTb in accuracy for proteins with unknown localization.

8 citations

bacteria (other)protein sequence

𝕏 PostBluesky