Author

Wenjie Shu

Primary ORCID profile (0000-0001-9044-2352 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Wenjie ShuiD1 paper · Xi'an Jiaotong University

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Chao Ren· 3 shared Feng Liu· 3 shared Hao Li· 3 shared Xiaochen BoiD· 2 shared Hebing CheniD· 1 shared Xiaochen Bo· 1 shared

Activity by Year

2016-2016 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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3 shared papersBioinformatics

Chao Ren

Mutual co-authors in cluster

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3 papers

Recent·Most cited

iFORM: incorporating Find Occurrence of Regulatory Motifs

Chao Ren, Hebing Chen, Feng Liu, Hao Li, Xiaochen Bo, Wenjie Shu

iFORM is a tool that improves the accuracy and sensitivity of TF motif scanning by integrating results from multiple motif discovery programs.

PLOS ONE · Dec 19, 2016Peer-reviewedBioinformatics

Genome-wide identification and characterisation of HOT regions in the human genome

Hao Li, Feng Liu, Chao Ren, Xiaochen Bo, Wenjie Shu

The paper identifies and characterizes HOT regions across human cell types, showing their association with developmental genes and unique epigenetic features.

bioRxiv · Aug 4, 2016Genomics

PEDLA: predicting enhancers with a deep learning-based algorithmic framework

Feng Liu, Hao Li, Chao Ren, Xiaochen Bo, Wenjie Shu

PEDLA uses deep learning to predict enhancers from heterogeneous data, achieving high accuracy across multiple cell types.

Scientific Reports · Jun 22, 2016Peer-reviewedBioinformatics