Author

Deepshikha Singh

ORCID 0000-0002-3865-6131Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:large language model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Arman Kazmi· 2 shared Shashank JataviD· 2 shared Soumya Luthra· 2 shared Shefali LathwaliD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Arman Kazmi

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 27, 2025

DEEPGEOSEARCH: LLM-POWERED SCHEMALESS RETRIEVALFOR BIOMEDICAL DATA DISCOVERY

Deepshikha Singh, Shashank Jatav, Shefali Lathwal…·Soumya Luthra

DeepGEOSearch improves biomedical dataset discovery by using an LLM-powered schema-less retrieval system that matches natural-language queries to datasets with high precision and recall.

DOI 10.64898/2025.12.27.696662

bulk RNA-seqlarge language model

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BioinformaticsbioRxivPreprintFeb 11, 2025

Beyond the Hype: The Complexity of Automated Cell Type Annotations with GPT-4

Arman Kazmi, Deepshikha Singh, Shashank Jatav, Soumya Luthra

This paper evaluates GPT-4's performance in automated cell type annotation on single-cell RNA-seq data, identifies its limitations, and introduces an improved approach using RAG and new evaluation metrics.

2 citations

humanscRNA-seq

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