Author

Ying Chen

Chinese Academy of SciencesORCID 0000-0002-1044-0865Unclaimed ORCID profile · follow to get notified of new preprints

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Ying Chen12 papers · Chinese Academy of Sciences

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

An HeiD· 1 shared André GörgensiD· 1 shared Angharad E. Evans· 1 shared Ben HuiD· 1 shared Bo WuiD· 1 shared Callum D.W. Daniel· 1 shared Christopher A. Smith· 1 shared Chuan‐Le XiaoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperSystems Biology

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3 papers

Recent·Most cited

Efficient genome editing in the non-human primate brain using programmable extracellular vesicles

Xiuming Liang, Houze Zhou, Zubair Ahmed Nizamudeen, Eleni Kyriakopoulou, Angharad E. Evans, Samantha Roudi, Hernando Yesid Estupiñan, Julia Rädler, Vincent Hou, Callum D.W. Daniel, Inés Hernández-Pérez, Malika Singh, Pardis Parsi, Daniel A. Lonergan, Lidia Menéndez Berlana, , Samir EL Andaloussi

This paper demonstrates efficient genome editing in non-human primate brains using engineered extracellular vesicles, achieving therapeutic potential for neurological disorders.

bioRxiv · Aug 6, 2026 · PreprintMolecular Biology

High accuracy methylation identification tools on single molecular level for PacBio HiFi data

Ying Chen, Bo Wu, Yuying Ding, Longjian Niu, Xin Lai Bai, Zhuobin Lin, Chuan‐Le Xiao

The paper introduces hifimeth, a deep learning model that improves 5mC detection accuracy on PacBio HiFi data by using 400 bp context, achieving higher accuracy and F1 score than existing methods.

bioRxiv · Aug 14, 2024 · PreprintBioinformatics

Deep spatial proteomic exploration of severe COVID-19-related pulmonary injury in post-mortem specimens

Yiheng Mao, Ying Chen, Yuan Li, Longda Ma, Xi Wang, Qi Wang, An He, Xi Liu, Tianyi Dong, Weina Gao, Yanfen Xu, Liang Liu, Liang Ren, Qian Liu, Peng Zhou, , Zheng‐Li Shi

This study creates a spatial proteomic atlas of lung tissues from COVID-19 victims, identifying protein dysregulations and markers of pathological changes.

bioRxiv · Jul 14, 2023 · PreprintSystems Biology