Author

B G Sunila

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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Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Karthick VasudevaniD· 2 shared Prasanna Kumar Selvam· 2 shared T Dhanushkumar· 2 shared Anbarasu KrishnaniD· 1 shared Rohini KarunakaraniD· 1 shared Santhosh Mudipalli ElavarasuiD· 1 shared Sripad Rama Hebbar· 1 shared Supraja Mohan· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

Karthick VasudevanORCID

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2 papers

Recent·Most cited

Transcriptomics and mutational analysis to screen immunogenic neoantigen peptides and Patient stratification based on immune subtypes for TNBC

Karthick Vasudevan, T Dhanushkumar, Prasanna Kumar Selvam, Anbarasu Krishnan, B G Sunila, Santhosh Mudipalli Elavarasu, Supraja Mohan, Rohini Karunakaran

This paper identifies neoantigen peptides and immune subtypes in TNBC using genomic and transcriptomic data, finding potential vaccine targets and biomarkers for immune stratification.

bioRxiv · Feb 19, 2026 · PreprintCancer Biology

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

T Dhanushkumar, B G Sunila, Sripad Rama Hebbar, Prasanna Kumar Selvam, Karthick Vasudevan

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

Immunogenetics · Dec 7, 2024Peer-reviewedBioinformatics