Author

Yijiang Liu

Nanyang Technological University

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Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metabolomics· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:large language model· 1

Frequent Co-Authors

Xiaotao SheniD· 2 shared Caroline Helen JohnsoniD· 1 shared Caroline Johnson· 1 shared Chang Liu· 1 shared Chao JiangiD· 1 shared Chuchu WangiD· 1 shared Feifan Zhang· 1 shared Feifan ZhangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Xiaotao ShenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 5, 2026

FeatureMAP enables network-guided interpretation of untargeted metabolomics

Yuting Wang, Feifan Zhang, Guoping Peng…·Xiaotao Shen

FeatureMAP improves interpretation of untargeted metabolomics data by integrating annotation, network refinement, and functional analysis, revealing metabolic patterns in Alzheimer's disease.

DOI 10.64898/2026.11.04.764165

humanmetabolomics

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BioinformaticsNature CommunicationsPeer-reviewedJan 17, 2026

TidyMass2: Advancing LC-MS Untargeted Metabolomics Through Metabolite Origin Inference and Metabolic Feature-based Functional Module Analysis

Xiao Wang, Yijiang Liu, Chao Jiang…·Xiaotao Shen

TidyMass2 improves untargeted metabolomics by inferring metabolite origins and analyzing functional modules, increasing biologically interpretable features from 5.8% to 58.8% in pregnancy urine data.

12 citationstop 1%

humanmetabolomics

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