Author

Xuejun Gao

Yangtze UniversityORCID 0000-0002-8241-6346Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Organism:human· 1

Frequent Co-Authors

Min YaoiD· 2 shared Tinghua HuangiD· 2 shared Binyu WangiD· 1 shared Cheng YuaniD· 1 shared Hao HeiD· 1 shared Hong XiaoiD· 1 shared Qi Tian· 1 shared Xinmiao Huang· 1 shared

Activity by Year

2022-2022 · peak 2/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Min YaoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 2, 2022

Flaver: mining transcription factors in genome-wide transcriptome profiling data using weighted rank correlation statistics

Tinghua Huang, Xinmiao Huang, Binyu Wang…·Xuejun Gao

Flaver identifies key transcription factors in ranked gene-lists using weighted rank correlation, outperforming GSEA in 14% of cases and showing experimental support.

DOI 10.1101/2022.10.02.510575

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedJun 7, 2022

Identification of upstream transcription factor binding sites in orthologous genes using mixed Student's t-test statistics

Tinghua Huang, Hong Xiao, Qi Tian…·Min Yao

This paper introduces a tool called Grit for identifying transcription factor binding sites using a mixed Student's t-test method, showing improved performance over existing tools on ChIP-Atlas datasets.

7 citations

humanChIP-seq

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