Author

Arya J. Shetty

Baylor College of MedicineORCID 0000-0002-0771-8643Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:differential expression· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Abdul Wali KhaniD· 1 shared Akash J. PateliD· 1 shared Akdes Serin HarmancıiD· 1 shared Anthony William ZoghbiiD· 1 shared Arif O. HarmanciiD· 1 shared Blake WeidoiD· 1 shared Chloe F. Sands· 1 shared Collin William EnglishiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Abdul Wali KhanORCID

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2 papers

Recent·Most cited

GeneticsThe American Journal of Human GeneticsPeer-reviewedFeb 26, 2025

Genome-wide prediction of dominant and recessive neurodevelopmental disorder risk genes

Ryan S. Dhindsa, Blake Weido, Justin S. Dhindsa…·Anthony William Zoghbi

This paper develops machine learning models to predict neurodevelopmental disorder risk genes using single-cell RNA-seq data and inheritance patterns, achieving high predictive accuracy.

15 citationstop 3%

humanscRNA-seq

BioinformaticsJournal of Neuro-OncologyPeer-reviewedMay 29, 2024

Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data

Arya J. Shetty, Su Wang, Abdul Wali Khan…·Akdes Serin Harmancı

This study develops CLIPPR, an algorithm that integrates single-cell and bulk RNA-seq data to improve meningioma classification and resolve benign-malignant confusion.

5 citations

humanbulk RNA-seq