Author

Jun Zeng

Jimei UniversityORCID 0000-0003-2103-4536Unclaimed ORCID profile · follow to get notified of new preprints

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Jun Zeng2 papers · Duke University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Feitai Tang· 1 shared Ge LiniD· 1 shared Hebatallah Ibrahim· 1 shared Hongwei Chu· 1 shared Huimin Gan· 1 shared Pingyuan XieiD· 1 shared Shen ZhangiD· 1 shared Shuoping ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Feitai Tang

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintAug 4, 2026

Non-Invasive Embryo Quality Assessment via Matrix-Optimized Untargeted LC-MS Metabolomics of Spent Embryo Culture Media and Weighted Ensemble Machine Learning

Huimin Gan, Xingyao Wang, Feitai Tang…·Shen Zhang

This paper develops a non-invasive method for embryo quality assessment using metabolomics of spent culture media and machine learning, identifying metabolic signatures linked to ploidy and morphology.

DOI 10.64898/2026.07.30.741666

humanmetabolomics

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