Author

Jing Yang

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-9581-5979Unclaimed ORCID profile · follow to get notified of new preprints

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Jing Yang14 papers · Chinese Academy of Sciences

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Chen Yang· 1 shared Gong-Hong WeiiD· 1 shared H.W. Wang· 1 shared HouZao Chen· 1 shared Huiyang Li· 1 shared Jia-Qi Li· 1 shared Jialing Li· 1 shared Lifei Ma· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Chen Yang

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2 papers

Recent·Most cited

Machine learning-based definition of cellular senescence reveals pro-senescence potential implication in lung adenocarcinoma

Lifei Ma, Huiyang Li, Yiling Li, Zhi-Ai Lin, Jia-Qi Li, Yu-zi ZHANG, Peng Zhang, Zehao Yao, Jialing Li, Min Xiong, Yinghao Cao, Ruidong Li, Chen Yang, Xiaoqiang Tang, Minjiang Chen, , HouZao Chen

This study introduces PreCSenM, a machine learning model that quantifies cellular senescence and identifies HDAC inhibitors as senescence inducers in lung adenocarcinoma.

Genome Medicine · Sep 7, 2026Peer-reviewedBioinformatics

RETA: An R Package For Whole Exome And Targeted Region Sequencing Data Analysis

Mengbiao Guo, Jing Yang, YL Lau, Wanling Yang

RETA is an R package that simplifies whole exome and targeted region sequencing data analysis by providing a comprehensive, interactive report with advanced visualization tools.

bioRxiv · Mar 28, 2017 · PreprintGenetics