A web tool for easy and versatile analysis of human endocrine pancreas single-cell RNAseq data

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

Original language	English
Journal	Diabetes, Obesity and Metabolism
DOIs	https://doi.org/10.1111/dom.70281
State	Accepted/In press - 2025

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title = "A web tool for easy and versatile analysis of human endocrine pancreas single-cell RNAseq data",

author = "Haya Benhayon and Xiaoyan Yi and Schyr, \{Rachel Ben Haroush\} and Eizirik, \{Decio L.\} and Danny Ben-Zvi",

year = "2025",

doi = "10.1111/dom.70281",

language = "אנגלית",

journal = "Diabetes, Obesity and Metabolism",

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AU - Benhayon, Haya

AU - Yi, Xiaoyan

AU - Schyr, Rachel Ben Haroush

AU - Eizirik, Decio L.

AU - Ben-Zvi, Danny

PY - 2025

Y1 - 2025

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AN - SCOPUS:105021408009

SN - 1462-8902

JO - Diabetes, Obesity and Metabolism

JF - Diabetes, Obesity and Metabolism

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