Author

Jiabin Chen

Xi'an Jiaotong UniversityORCID 0000-0002-6859-4293Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Shan‐Shan DongiD· 2 shared Shi YaoiD· 2 shared Tie‐Lin YangiD· 2 shared Yan GuoiD· 2 shared Yu RongiD· 2 shared Feng JiangiD· 1 shared Fuling ZhouiD· 1 shared Hao CheniD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetics

Shan‐Shan DongORCID

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2 papers

Recent·Most cited

Phenome-wide investigation of the causal associations between childhood BMI and adult outcomes: A two-sample Mendelian randomization study

Shan‐Shan Dong, Kun Zhang, Yan Guo, Jing‐Miao Ding, Jun-Cheng Feng, Shi Yao, Yu Rong, Feng Jiang, Jiabin Chen, Hao Wu, Xiaofeng Chen, Tie‐Lin Yang

This study uses Mendelian randomization to investigate causal associations between childhood BMI and 60 adult traits, finding adverse effects on health and disease risk, but also positive associations with certain lifestyle factors.

Genome Medicine · Mar 26, 2021Peer-reviewedGenetics

Modeling circRNAs expression pattern with integrated sequence and epigenetic features identifies H3K79me2 as regulators for circRNAs expression

Jiabin Chen, Shan‐Shan Dong, Shi Yao, Yuan-Yuan Duan, Wei‐Xin Hu, Hao Chen, Naining Wang, Ruo-Han Hao, Mingrui Guo, Yujie Zhang, Yu Rong, Yixiao Chen, Hlaing Nwe Thynn, Fuling Zhou, Yan Guo, Tie‐Lin Yang

The paper introduces CIRCScan, a machine learning framework that predicts circRNA expression using sequence and epigenetic features, identifying H3K79me2 as a key regulator.

bioRxiv · Aug 15, 2018 · PreprintBioinformatics