Author

Xiwu Zhao

University of MichiganORCID 0000-0001-6106-7389Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Tongjun GuiD· 2 shared Audrey Qiuyan FuiD· 1 shared Ji‐Hyun LeeiD· 1 shared Michael J. Bolt· 1 shared W. Brad BarbazukiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Tongjun GuORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedFeb 27, 2021

miTAR: a hybrid deep learning-based approach for predicting miRNA targets

Tongjun Gu, Xiwu Zhao, W. Brad Barbazuk, Ji‐Hyun Lee

The paper introduces miTAR, a hybrid deep learning model for miRNA target prediction, achieving higher accuracy than existing methods on two datasets.

55 citations

deep learninggene regulatory network inference

𝕏 PostBluesky

BioinformaticsComputers in Biology and MedicinePeer-reviewedMar 3, 2020

Systematic identification of A-to-I editing associated regulators from multiple human cancers

Tongjun Gu, Audrey Qiuyan Fu, Michael J. Bolt, Xiwu Zhao

The paper identifies genes associated with A-to-I RNA editing in four cancers using a logistic regression model and highlights cancer-specific and shared regulatory patterns.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky