Author

Min Shi

National Institutes of HealthORCID 0000-0001-8265-5307Unclaimed ORCID profile · follow to get notified of new preprints

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Min Shi4 papers · University of Louisiana at Lafayette

Biology Disciplines

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Developmental Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Carmen J. WilliamsiD· 1 shared Dmitri V. ZaykiniD· 1 shared Fengjiao Hu· 1 shared Olga A. VsevolozhskayaiD· 1 shared Paula SteiniD· 1 shared Virginia SavyiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperDevelopmental Biology

Carmen J. WilliamsORCID

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2 papers

Recent·Most cited

Developmental BiologyFrontiers in Cell and Developmental BiologyPeer-reviewedNov 4, 2021

Superovulation does not alter calcium oscillations following fertilization

Virginia Savy, Paula Stein, Min Shi, Carmen J. Williams

This study tests whether superovulation affects calcium oscillations in fertilized eggs and finds no differences in calcium signaling patterns between superovulated and naturally cycling mice.

8 citations

mouseexperimental assay

𝕏 PostBluesky

GeneticsPLoS Computational BiologyPeer-reviewedApr 14, 2020

DOT: Gene-set analysis by combining decorrelated association statistics

Olga A. Vsevolozhskaya, Min Shi, Fengjiao Hu, Dmitri V. Zaykin

DOT improves gene-set analysis by decorrelating SNP-level statistics, enhancing power in heterogeneous effect size scenarios.

14 citations

GWAS summary statisticsstatistical model

𝕏 PostBluesky