Author

Le Zheng

Texas A&M UniversityORCID 0000-0002-7547-3094Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Le Zheng2 papers · Guangzhou Medical University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Peng YuiD· 2 shared Akihiko UchiyamaiD· 1 shared Donald Y.M. LeungiD· 1 shared Jin Li· 1 shared Jin LiiD· 1 shared Lianghua BiniD· 1 shared Magdalena TrzeciakiD· 1 shared María I. MorassoiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Peng YuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 27, 2020

brt: An R package for integrating biological relevance with p value in omics data

Le Zheng, Jin Li, Peng Yu

The paper introduces a new statistical method, BRT, to assess biological relevance in omics data by incorporating effect size with p-values, and demonstrates its application on microarray data.

DOI 10.1101/2020.02.27.968909

statistical modelbenchmarking

BioinformaticsScientific ReportsPeer-reviewedJun 7, 2018

A data mining paradigm for identifying key factors in biological processes using gene expression data

Jin Li, Le Zheng, Akihiko Uchiyama…·Peng Yu

This paper introduces a data mining paradigm to identify key factors in biological processes using gene expression data, demonstrating its effectiveness in epidermal development and cold-induced thermogenesis.

16 citations

humanbulk RNA-seq