Author

Allison M. Krinsky

University of Washington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Dylan H. RossiD· 1 shared Libin XuiD· 1 shared Ryan P. SeguiniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Dylan H. RossORCID

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1 paper

Recent·Most cited

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.

Journal of the American Society for Mass Spectrometry · May 12, 2022Peer-reviewedBioinformatics