Author

Mengran Wang

Southern University of Science and TechnologyORCID 0000-0002-9281-9501Unclaimed ORCID profile · follow to get notified of new preprints

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Mengran Wang1 paper · Yanshan University

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Amir Kedan· 1 shared Bin ZhangiD· 1 shared Chu‐Xiao LiuiD· 1 shared Gordon CarmichaeliD· 1 shared Haoyang LiiD· 1 shared Henrik ZauberiD· 1 shared Huanhuan CuiiD· 1 shared Juexiao ZhouiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

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10 top collaborators · 12 mutual co-author links

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1 shared paperSystems Biology

Amir Kedan

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3 papers

Recent·Most cited

An integrated landscape of mRNA and protein isoforms

Amir Kedan, Henrik Zauber, Mengran Wang, Suyeon Kim, Qionghua Zhu, Liang Fang, Kathryn Susan Lilley, Wei Chen, Matthias Selbach

The paper integrates mRNA and protein isoform data in human RPE-1 cells to reveal widespread translation of alternative transcripts and proteolytic processing as a major source of proteome complexity.

Cell Reports · Sep 1, 2026Peer-reviewedSystems Biology

DeeReCT-TSS: A novel meta-learning-based method annotates TSS in multiple cell types based on DNA sequences and RNA-seq data

Juexiao Zhou, Bin Zhang, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Mengran Wang, Huanhuan Cui, Wei Chen, Xin Gao

DeeReCT-TSS improves TSS annotation across cell types using DNA sequences and RNA-seq data, outperforming sequence-only methods and enabling cell-type-specific TSS identification.

bioRxiv · Jul 14, 2021 · PreprintBioinformatics

A CLEAR pipeline for direct comparison of circular and linear RNA expression

Xu-Kai Ma, Mengran Wang, Chu‐Xiao Liu, Rui Dong, Gordon Carmichael, Ling‐Ling Chen, Li Chun Yang

The paper introduces CLEAR, a pipeline to compare circular and linear RNA expression using RNA-seq data by calculating CIRCscore.

Genomics Proteomics & Bioinformatics · Oct 1, 2019Peer-reviewedBioinformatics