Author

Hossein Nemati

Ferdowsi University of MashhadORCID 0000-0003-2365-7278Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 1

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Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1

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Davoud TorkamanehiD· 1 shared Hossein Arouiee· 1 shared Mehdi BabaeiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperPlant Biology

Davoud TorkamanehORCID

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1 paper

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Plant BiologyScientific ReportsPeer-reviewedMay 21, 2026

Predicting flowering time using integrated morphophysiological and genomic data with machine learning models

Mehdi Babaei, Hossein Nemati, Hossein Arouiee, Davoud Torkamaneh

This study uses machine learning to classify flowering time in Cannabis landraces by integrating genomic and morphophysiological data, achieving 96.6% accuracy.

DOI 10.1038/s41598-026-53686-y

C. elegansbulk RNA-seq

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