Author

Baosen Guo

ORCID 0000-0001-7554-8677Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:multiome· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Aakansha RaiiD· 1 shared Ádám Misák· 1 shared Akash Gosain· 1 shared Alexander Wu· 1 shared Alice DriesseniD· 1 shared Alidivinas Prusokas· 1 shared Anand Rajasekar· 1 shared Anjali DhalliD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aakansha RaiORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular Systems BiologyPeer-reviewedOct 1, 2021

Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd

Attila Gábor, Marco Tognetti, Alice Driessen…·Mingyu Lee

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

17 citations

humanmultiome

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 26, 2020

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

enhui luan, Ken Cheng, Qiaoyun Long…·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.

DOI 10.1101/2020.03.26.010769

metabolomicsstatistical model

𝕏 PostBluesky