Author

Xing Ye

Guangzhou University of Chinese MedicineORCID 0000-0003-1769-6035Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Fusong JuiD· 1 shared Haiguang LiuiD· 1 shared Huanhuan XiaiD· 1 shared Jiao Jiao LiiD· 1 shared Jiaying Xu· 1 shared Jie JiaiD· 1 shared Jing SuniD· 1 shared Pan DengiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCell Biology

Fusong JuORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintJan 5, 2026

Phenotype-Guided In Silico Molecular Generation Using Large Language Models

Qun Jiang, Xing Ye, Zekun Guo…·Sida Shao

GEMGen generates small molecules from transcriptomic data to phenocopy gene knockdown effects and identify novel inhibitors.

2 citations

bulk RNA-seqdeep learning

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MicrobiologybioRxivPreprintAug 12, 2025

16S rRNA Survey Reveals the Potential of Oral Microbiota in Distinguishing Patients with Chronic Heart Failure from Healthy Controls

Xing Ye, Jie Jia, Xiaotao Jiang…·Jing Sun

This study uses 16S rRNA sequencing to identify oral microbiota differences between chronic heart failure patients and healthy controls, finding 14 microbes that can distinguish the two groups with 83.7% diagnostic accuracy.

DOI 10.1101/2025.08.12.669863

humanmetagenomics

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