Author

Leili Shahriyari

University of Massachusetts AmherstORCID 0000-0001-6234-8449Unclaimed ORCID profile · follow to get notified of new preprints

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Leili Shahriyari2 papers

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alimire NabijiangiD· 1 shared Qiumeng LiiD· 1 shared Weiqi ChuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Alimire NabijiangORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 24, 2026

CellExLink: End-to-end cell-type recognition and normalization in biomedical text

Alimire Nabijiang, Leili Shahriyari

CellExLink improves end-to-end cell-type recognition and Cell Ontology normalization in biomedical text, outperforming existing tools across diverse corpora.

DOI 10.1371/journal.pcbi.1014556

statistical modelmachine learning (classical)

𝕏 PostBluesky

Systems BiologybioRxivPreprintMay 29, 2026

Multi-state Continuous-Time Markov Chain Modeling for Chronic Kidney Disease Progression

Qiumeng Li, Weiqi Chu, Leili Shahriyari

This paper develops a CTMC framework for modeling CKD progression using synthetic EHR data, showing improved log-likelihood and stage-specific associations with male sex and hypertension.

DOI 10.64898/2026.05.26.727952

electronic health recordsstatistical model

𝕏 PostBluesky