Author

Mei Deng

Sichuan Agricultural UniversityORCID 0000-0003-0480-5730Unclaimed ORCID profile · follow to get notified of new preprints

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Mei Deng3 papers · University of Washington

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2

Frequent Co-Authors

Guoyue CheniD· 2 shared Huaping Tang· 2 shared Jian MaiD· 2 shared Jieguang Zhou· 2 shared Pengfei QiiD· 2 shared Qiang XuiD· 2 shared Qiantao JiangiD· 2 shared Youliang ZhengiD· 2 shared

Activity by Year

2021-2023 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Guoyue ChenORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintFeb 17, 2023

A promising QTL QSns.sau-MC-3D.1 likely superior to WAPO1 for wheat spikelet number per spike shows no adverse effects on yield-related traits

Jieguang Zhou, Wei Li, Yaoyao Yang…·Jian Ma

This paper identifies a novel QTL, QSns.sau-MC-3D.1, for wheat spikelet number per spike that shows no adverse effects on yield-related traits and has better breeding potential than WAPO1.

DOI 10.1101/2023.02.17.528911

statistical modelgene regulatory network inference

𝕏 PostBluesky

GeneticsFrontiers in Plant SciencePeer-reviewedAug 31, 2021

The 55K SNP-Based Exploration of QTL for Spikelet Number Per Spike in a Tetraploid Wheat (Triticum turgidum L.) Population: Chinese Landrace Ailanmai X Wild Emmer

Ziqiang Mo, Jing Zhu, Jiatai Wei…·Jian Ma

The paper identifies five QTL for spikelet number per spike in a tetraploid wheat population using a 55K SNP array and validates two major QTL with KASP markers.

13 citations

statistical modelgene regulatory network inference

𝕏 PostBluesky