Author

Nicholas Deason

Michigan State UniversityORCID 0000-0002-2218-2699Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1 Organism:zebrafish· 1

Frequent Co-Authors

Brieanne VaillancourtiD· 2 shared C. Robin BuelliD· 2 shared Dean DellaPennaiD· 2 shared Di WuiD· 2 shared Gregory R. SchoenbaumiD· 2 shared Jianming YuiD· 2 shared John P. HamiltoniD· 2 shared Joshua C. WoodiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Brieanne VaillancourtORCID

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2 papers

Recent·Most cited

GeneticsThe Plant GenomePeer-reviewedNov 2, 2022

Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain

Ryokei Tanaka, Di Wu, Xiaowei Li…·Michael A. Gore

This study evaluates prediction models for tocochromanol content in maize grain using genomic and transcriptomic data, finding that incorporating biological knowledge improves predictive ability.

3 citations

zebrafishbulk RNA-seq

𝕏 PostBluesky

GeneticsGeneticsPeer-reviewedJun 6, 2022

Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain

Di Wu, Xiaowei Li, Ryokei Tanaka…·Michael A. Gore

The paper combines GWAS and TWAS to identify 13 candidate causal genes for tocochromanol levels in maize grain, including five previously unassociated genes.

30 citationstop 5%

plant (other)GWAS summary statistics

𝕏 PostBluesky