Author

Xi Wang

Johns Hopkins UniversityORCID 0000-0002-7936-9366Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xi Wang13 papers · Boston Children's Hospital

Biology Disciplines

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Genomics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

M BeeriD· 2 shared Bingrui ZhaoiD· 1 shared Dongdong ZhangiD· 1 shared Guanglei XieiD· 1 shared Jiaqi TuiD· 1 shared Jie-Min JiaiD· 1 shared Lili ZhouiD· 1 shared Ling YangiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

M BeerORCID

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3 papers

Recent·Most cited

The myeloid cell-driven transdifferentiation of endothelial cells into pericytes promotes the restoration of BBB function and brain self-repair after stroke

Tingbo Li, Ling Yang, Jiaqi Tu, Yufan Hao, Zhu Zhu, Yingjie Xiong, Qingzhu Gao, Lili Zhou, Guanglei Xie, Dongdong Zhang, Xuzhao Li, Yuxiao Jin, Yiyi Zhang, Bingrui Zhao, Nan Li, , Jie-Min Jia

This study shows that myeloid cell-driven transdifferentiation of endothelial cells into pericytes helps restore BBB function and brain repair after stroke.

eLife · Jul 16, 2025Peer-reviewedNeuroscience

Loop competition and extrusion model predicts CTCF interaction specificity

Xi Wang, M Beer

The paper introduces a mathematical model to predict CTCF-mediated chromatin loop formation and shows it accurately predicts ChIA-PET interaction data.

Nature Communications · Feb 16, 2021Peer-reviewedGenomics

Local epigenomic state cannot discriminate interacting and non-interacting enhancer-promoter pairs with high accuracy

Xi Wang, M Beer

The paper shows that local epigenomic features cannot accurately distinguish interacting from non-interacting enhancer-promoter pairs due to overfitting in machine learning models.

PLoS Computational Biology · Dec 18, 2018Peer-reviewedGenomics