Author

Avish Vijayaraghavan

Imperial College LondonORCID 0009-0007-2821-1917Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:proteomics· 2 Assay:metagenomics· 1

Frequent Co-Authors

Joram Matthias PosmaiD· 2 shared Meiqi WangiD· 2 shared Tim BeckiD· 2 shared Antoine D. LainiD· 1 shared Devanshi Patel· 1 shared Monica N. MweetwaiD· 1 shared Nazanin Faghih-Mirzaei· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Joram Matthias PosmaORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJun 18, 2026

Microbial Named Entity Recognition and Normalisation for AI-assisted Literature Review and Meta-Analysis

Devanshi Patel, Antoine D. Lain, Avish Vijayaraghavan…·Joram Matthias Posma

The paper develops deep learning models for microbial named entity recognition and normalization to accelerate literature review and meta-analysis of microbiome studies.

2 citations

proteomicsmetagenomics

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BioinformaticsJournal of Proteome ResearchPeer-reviewedMay 11, 2024

Vocabulary Matters: An Annotation Pipeline and Two Deep Learning Algorithms for Enzyme Named Entity Recognition

Meiqi Wang, Avish Vijayaraghavan, Tim Beck, Joram Matthias Posma

This paper develops an annotation pipeline and two deep learning models for enzyme named entity recognition, achieving high performance with SciBERT-BiLSTM outperforming BioBERT-BiLSTM.

3 citations

proteomicsdeep learning

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