Author

Arash Rasti-Meymandi

University of TorontoORCID 0000-0001-6489-5235Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Angela M. CheungiD· 1 shared Elham Dolatabadi· 1 shared Eustache Paramithiotis· 1 shared Sepideh Nahali· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Angela M. CheungORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 16, 2026

scACORN: Context-engineered agent orchestration of specialized small language models for single-cell transcriptomic interpretation

Arash Rasti-Meymandi, Sepideh Nahali, Eustache Paramithiotis…·Elham Dolatabadi

scACORN improves single-cell transcriptomic interpretation by combining specialized small language models with context-engineered agent orchestration, achieving higher accuracy and reducing unsupported gene citations.

DOI 10.64898/2026.09.10.750801

humanscRNA-seq

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