Author

Sripad Rama Hebbar

REVA University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Karthick VasudevaniD· 2 shared T Dhanushkumar· 2 shared B G Sunila· 1 shared Krishnan AnbarasuiD· 1 shared Prasanna Kumar Selvam· 1 shared Rohini KarunakaraniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersCancer Biology

Karthick VasudevanORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintFeb 11, 2026

Network-based integration of gene expression and DNA methylation identifies prognostic biomarkers for early-stage pancreatic cancer

T Dhanushkumar, Krishnan Anbarasu, Sripad Rama Hebbar…·Rohini Karunakaran

The paper integrates gene expression and DNA methylation data using a network-based approach to identify prognostic biomarkers for early-stage pancreatic cancer, achieving higher classification accuracy with multi-omics features.

DOI 10.64898/2026.02.09.704985

humanbulk RNA-seq

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BioinformaticsImmunogeneticsPeer-reviewedDec 7, 2024

VaxOptiML: Leveraging Machine Learning for Accurate Prediction of MHC-I & II Epitopes for Optimized Cancer Immunotherapy

T Dhanushkumar, B G Sunila, Sripad Rama Hebbar…·Karthick Vasudevan

VaxOptiML predicts MHC-I and MHC-II epitopes using machine learning, offering higher accuracy and usability for cancer immunotherapy.

3 citations

machine learning (classical)software / tool

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