Author

Bin Guo

University of MinnesotaORCID 0000-0002-9124-1955Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Bin Guo6 papers · University of Houston

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:differential expression· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Assay:bulk RNA-seq· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Baolin WuiD· 2 shared Deyu Miao· 1 shared Fugen ZhouiD· 1 shared Jianjun ZhangiD· 1 shared John C. GoreiD· 1 shared Juan LiiD· 1 shared Kai GaoiD· 1 shared Muwei LiiD· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersGenetics

Baolin WuORCID

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Author profile →

4 papers

Recent·Most cited

Combined omics unravels the molecular mechanism of golden-leaf coloration in Koelreuteria paniculata 'jinye'

Ting Guo, Ruqian Wu, Xiong Yang, Sai Huang, Deyu Miao, Tingting Chen, Yinxuan Xue, Juan Li, Kai Gao, Bin Guo, Xinmin An

The paper identifies molecular mechanisms behind golden leaf coloration in a mutant plant by analyzing omics data and gene expression changes.

bioRxiv · May 19, 2022 · PreprintMolecular Biology

Latency structure of BOLD signals within white matter in resting-state fMRI

Bin Guo, Fugen Zhou, Muwei Li, John C. Gore

The paper examines BOLD signal latency variations in white matter across different sensory states using resting-state fMRI data, finding reproducible patterns and directional propagation.

Magnetic Resonance Imaging · Jan 6, 2022Peer-reviewedNeuroscience

Powerful statistical method to detect disease associated genes using publicly available GWAS summary data

Jianjun Zhang, Zihan Zhao, Xuan Guo, Bin Guo, Baolin Wu

The paper introduces a statistical method to detect disease-associated genes using GWAS summary data, identifying novel genes related to beta-cell function and lipid traits.

Genetic Epidemiology · Aug 7, 2019Peer-reviewedGenetics

Principal component based adaptive association test of multiple traits using GWAS summary statistics

Bin Guo, Baolin Wu

The paper develops a multi-trait association test method using GWAS summary statistics to identify genetic variants influencing multiple traits simultaneously, finding novel loci missed by single-trait analyses.

Bioinformatics · Nov 22, 2018Peer-reviewedBioinformatics