Author

Ken Cheng

Xi’an Jiaotong-Liverpool UniversityPrimary ORCID profile (0000-0002-4913-2691 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Ken ChengiD4 papers · Macquarie University

Biology Disciplines

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Animal Behavior & Cognition· 1 Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

Baosen GuoiD· 1 shared Binghang LiuiD· 1 shared Cody A Freas· 1 shared Dehua LiiD· 1 shared enhui luaniD· 1 shared Fengji Tan· 1 shared Hancheng ZhengiD· 1 shared Jiangning LiiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Baosen GuoORCID

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Author profile →

3 papers

Recent·Most cited

Exploring Effective Ingredients and Potential Mechanisms of Stem Cell-derived Dendrobium Officinale Extract in Treatment of Allergic Rhinitis

Jiangning Li, Jie Zhang, Ken Cheng

This study identifies bioactive ingredients and potential mechanisms of stem cell-derived Dendrobium Officinale extract in treating allergic rhinitis using metabolomics and network pharmacology.

bioRxiv · Apr 18, 2025 · PreprintPharmacology & Toxicology

Diurnal Bull Ants Navigating by Moonlight: Polarised Light Homing in Myrmecia tarsata

Cody A Freas, Ken Cheng

This study shows diurnal bull ants use polarized moonlight for navigation, though their performance declines with decreasing lunar illumination compared to nocturnal bull ants.

bioRxiv · Feb 21, 2025 · PreprintAnimal Behavior & Cognition

A Reference Feature based method for Quantification and Identification of LC-MS based untargeted metabolomics

enhui luan, Ken Cheng, Qiaoyun Long, Dehua Li, Zhenyu Li, Binghang Liu, Yalan Wang, Wei Li, Baosen Guo, Fengji Tan, Xiaoyi Yi, Lei Feng, Jiaping Song, Hancheng Zheng

This paper introduces RFQI, a reference-feature based method for quantification and identification in LC-MS untargeted metabolomics, improving batch consistency and metabolite detection efficiency.

bioRxiv · Mar 26, 2020 · PreprintBioinformatics