Author

Wenjin Jim Zheng

The University of Texas Health Science Center at HoustonORCID 0000-0003-0252-1347Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Degeng WangiD· 2 shared Denis FéliersiD· 2 shared Fangyuan ZhangiD· 2 shared Jing Ping TangiD· 1 shared Nuno Lages· 1 shared Shuyu ZhengiD· 1 shared Wen G. JiangiD· 1 shared Wen Jiang· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersSystems Biology

Degeng WangORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintJan 11, 2022

Bridging Transcriptome Regulation and Cellular Operational Efficiency with the Locality and Caching System Optimization Principles

Wen Jiang, Denis Féliers, Wenjin Jim Zheng…·Degeng Wang

The paper applies computer science principles of locality and caching to explain transcriptome regulation and cellular efficiency in gene expression.

DOI 10.1101/2022.01.11.475967

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsJournal of the American Medical Informatics AssociationPeer-reviewedAug 15, 2020

Anti-cancer Drug Synergy Prediction in Understudied Tissues using Transfer Learning

Yejin Kim, Shuyu Zheng, Jing Ping Tang…·Xiaoqian Jiang

This paper develops a drug synergy prediction model using transfer learning to address data scarcity in understudied cancer tissues.

88 citationstop 3%

bulk RNA-seqdeep learning

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Systems BiologyScientific ReportsPeer-reviewedApr 10, 2018

A Multi-Parameter Analysis of Cellular Coordination of Major Transcriptome Regulation Mechanisms

Wen G. Jiang, Zhanyong Guo, Nuno Lages…·Degeng Wang

The paper quantitatively analyzes the coordination of transcriptome regulation mechanisms by measuring transcription rate, mRNA abundance, and translation activity, revealing their statistical relationships and regulatory roles.

10 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky