Author

Antonio Vergari

University of EdinburghORCID 0000-0003-0036-5678Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Ajitha RajaniD· 1 shared Piyush BoroleiD· 1 shared Tongjie WangiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ajitha RajanORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 11, 2025

Can interpretability and accuracy coexist in cancer survival analysis?

Piyush Borole, Tongjie Wang, Antonio Vergari, Ajitha Rajan

The paper proposes ConSurv, a model that balances interpretability and accuracy in cancer survival analysis using gene expression and clinical data from breast cancer patients.

DOI 10.1101/2025.04.11.648380

humanbulk RNA-seq

𝕏 PostBluesky