Author

Rishabh Narayanan

Rutgers, The State University of New JerseyORCID 0009-0000-3258-1952Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:machine learning (classical)· 3 Assay:whole-genome sequencing· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2

Frequent Co-Authors

Elizabeth Peker· 4 shared Saman ZeeshaniD· 4 shared William DeGroatiD· 4 shared Zeeshan AhmediD· 4 shared Bruce T. LiangiD· 1 shared Dinesh MendheiD· 1 shared Habiba AbdelhalimiD· 1 shared Neev Sheth· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 29 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Elizabeth Peker

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4 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintMay 27, 2026

Translational bioinformatics and machine learning framework for biomarker discovery, disease prediction, and patient profiling for precision medicine

Zeeshan Ahmed, Prithvi Govindareddy, William DeGroat…·Saman Zeeshan

DOI 10.64898/2026.05.23.26353961

humanbulk RNA-seq

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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

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Genetic & Genomic MedicineBioinformatics AdvancesPeer-reviewedDec 26, 2024

VAREANT: a bioinformatics application for gene variant reduction and annotation

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

VAREANT is a bioinformatics tool that simplifies variant data preprocessing, annotation, and AI/ML preparation for genomic analysis.

3 citations

humanwhole-genome sequencing

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GenomicsScientific ReportsPeer-reviewedNov 3, 2024

Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases

William DeGroat, Habiba Abdelhalim, Elizabeth Peker…·Zeeshan Ahmed

The paper develops a multimodal AI/ML framework to identify biomarkers and predict cardiovascular disease using multi-omics data, finding a 27-component signature with high predictive accuracy.

82 citationstop 1%

humanbulk RNA-seq

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