Author

Poorvi HC

International Institute of Information Technology, Hyderabad

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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Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Gaurav Bhole· 1 shared Madhav J.R.· 1 shared Palakkad Krishnan Unni VinodiD· 1 shared Prabhakar BhimalapuramiD· 1 shared Vinod PK· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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1 shared paperCancer Biology

Gaurav Bhole

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2 papers

Recent·Most cited

Integrated Cross-Organ Transcriptomic Analysis Uncovers Conserved Gene Signatures Predictive of Allograft Rejection

Poorvi HC, Palakkad Krishnan Unni Vinod

The paper identifies conserved gene signatures predictive of allograft rejection across multiple organs using transcriptomic data and machine learning.

PLoS ONE · Apr 30, 2026Peer-reviewedSystems Biology

Breast Cancer Subtyping with HyperCLSA: A Hypergraph Contrastive Learning Pipeline for Multi-Omics Data Integration

Gaurav Bhole, Poorvi HC, Madhav J.R., Vinod PK, Prabhakar Bhimalapuram

This paper introduces HyperCLSA, a deep learning framework for breast cancer subtyping using multi-omics data integration, achieving 90.1% accuracy on TCGA-BRCA for PAM50 classification.

Lecture notes in computer science · Jan 1, 2026Peer-reviewedCancer Biology