Author

Dinesh Mendhe

Rutgers, The State University of New JerseyORCID 0000-0003-1158-3259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Zeeshan AhmediD· 3 shared Habiba AbdelhalimiD· 2 shared Saman ZeeshaniD· 2 shared William DeGroatiD· 2 shared Achuth Suresh NairiD· 1 shared Anirudh Pappu· 1 shared Elizabeth Peker· 1 shared Khushbu PateliD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Zeeshan AhmedORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintMar 25, 2025

3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization

Rishabh Narayanan, Elizabeth Peker, William DeGroat…·Zeeshan Ahmed

This paper introduces 3D IntelliGenes, a tool for visualizing AI/ML results on multi-omics data to discover biomarkers and predict diseases through 3D clustering and feature analysis.

2 citations

humanmultiome

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GenomicsScientific ReportsPeer-reviewedJan 2, 2024

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine

William DeGroat, Habiba Abdelhalim, Kush Patel…·Zeeshan Ahmed

This study identifies 18 significant transcriptomic biomarkers for cardiovascular disease with 96% accuracy using a combination of statistical tests and machine learning classifiers.

859 citationstop 1%

humanbulk RNA-seq

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BioinformaticsDatabasePeer-reviewedJan 1, 2023

Integrated ACMG approved genes and ICD codes for the translational research and precision medicine

Raghunandan Wable, Achuth Suresh Nair, Anirudh Pappu…·Zeeshan Ahmed

The paper develops a gene-disease-code database linking ICD codes with ACMG-approved genes to support genomic and clinical data integration for precision medicine.

3 citations

humanGWAS summary statistics

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