Author

Yasaman Ranjbaran

University of PaduaORCID 0000-0002-4682-4270Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Alexandre AntonelliiD· 1 shared Elena CanadelliiD· 1 shared Francesco Dal GrandeiD· 1 shared Gabriele SalesiD· 1 shared Marie‐Hélène WeechiD· 1 shared Olivier MauriniD· 1 shared Paul Julian KerseyiD· 1 shared Tomas MorosinottoiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperPlant Biology

Alexandre AntonelliORCID

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1 paper

Recent·Most cited

AI-based prediction of herbarium sequencing success across the plant tree of life

Yasaman Ranjbaran, Olivier Maurin, Elena Canadelli, Tomas Morosinotto, Marie‐Hélène Weech, Paul Julian Kersey, Alexandre Antonelli, William J. Baker, Gabriele Sales, Francesco Dal Grande

The paper develops an AI model to predict successful genomic DNA sequencing from herbarium specimens using morphological, metadata, and DNA quantity features.

bioRxiv · Feb 3, 2025 · PreprintPlant Biology