Author

Xiao Dan Wang

Peking UniversityORCID 0000-0003-4236-2483Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1 Organism:mouse· 1 Organism:yeast· 1

Frequent Co-Authors

Cong LiiD· 1 shared Dong HuangiD· 1 shared H. H. Li· 1 shared Jia LyuiD· 1 shared Kunlun Cheng· 1 shared Li Jin· 1 shared Li Quan· 1 shared Peter S. SwainiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Cong LiORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedNov 15, 2023

Nunchaku: Optimally partitioning data into piece-wise linear segments

Yu Huo, H. H. Li, Xiao Dan Wang…·Peter S. Swain

The paper introduces a Bayesian algorithm to optimally partition 2D data into piece-wise linear segments, applied to microbial growth analysis.

2 citations

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Systems BiologybioRxivPreprintMay 11, 2023

Diazo-carboxyl click chemistry enables rapid and sensitive quantification of carboxylic acid metabolites

Cong Li, Kunlun Cheng, Qijin Zhao…·Zhixing Chen

The paper introduces DQmB-HA, a method for sensitive quantification of carboxylic acid metabolites, enabling single-cell analysis and blood sample profiling in mice and humans.

DOI 10.1101/2023.05.11.540288

𝕏 PostBluesky