Author

Ryan P. Seguin

University of WashingtonORCID 0000-0003-3648-1910Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Libin XuiD· 2 shared Allison M. Krinsky· 1 shared Dylan H. RossiD· 1 shared Gabrielle Kunzman· 1 shared Joe L Lim· 1 shared Joseph L. DempseyiD· 1 shared Julia Yue CuiiD· 1 shared Vanessa A. Lopez· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersPharmacology & Toxicology

Libin XuORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologyToxicological SciencesPeer-reviewedOct 2, 2024

Oral Exposure to Benzalkonium Chlorides in Male and Female Mice Reveals Sex-Dependent Alteration of the Gut Microbiome and Bile Acid Profile

Vanessa A. Lopez, Joe L Lim, Ryan P. Seguin…·Libin Xu

This study shows oral BAC exposure reduces gut microbiome diversity and secondary bile acids in female mice more than males.

6 citations

mousemetagenomics

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BioinformaticsJournal of the American Society for Mass SpectrometryPeer-reviewedMay 12, 2022

High-Throughput Measurement and Machine Learning-Based Prediction of Collision Cross Sections for Drugs and Drug Metabolites

Dylan H. Ross, Ryan P. Seguin, Allison M. Krinsky, Libin Xu

The paper creates a large-scale CCS database for drugs and metabolites and develops a machine learning model to predict CCS values for different molecular forms.

35 citations

metabolomicsmachine learning (classical)

𝕏 PostBluesky