Author

Michael G. Organ

University of OttawaORCID 0000-0002-4625-5696Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Emily Hashimoto-RothiD· 2 shared Mathieu Lavallée‐AdamiD· 2 shared Steffany A. L. BennettiD· 2 shared Thao Nguyen-TraniD· 2 shared Theodore J. PerkinsiD· 2 shared Xun Xun Shi· 1 shared Xun-Xun Shi· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Emily Hashimoto-RothORCID

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2 papers

Recent·Most cited

Desktop iDMS: A stand-alone application of intelligent differential mobility spectrometry (iDMS), a neural net-work that predicts optimal separation and compensa-tion voltages for field asymmetric differential ion mobil-ity spectrometry

Thao Nguyen-Tran, Emily Hashimoto-Roth, Xun-Xun Shi, Michael G. Organ, Theodore J. Perkins, Mathieu Lavallée‐Adam, Steffany A. L. Bennett

The paper introduces iDMS, a neural network that predicts optimal separation and compensation voltages for DMS, improving glycosphingolipid analysis.

bioRxiv · Oct 7, 2026 · PreprintBioinformatics

Intelligent differential ion mobility spectrometry (iDMS): A deep neural network that predicts optimal space-resolved ion mobility parameters for isomeric monoglycosphingolipids

Thao Nguyen-Tran, Xun Xun Shi, Emily Hashimoto-Roth, Michael G. Organ, Mathieu Lavallée‐Adam, Theodore J. Perkins, Steffany A. L. Bennett

The paper introduces iDMS, a deep neural network that predicts optimal ion mobility parameters for resolving monoglycosphingolipid stereoisomers, improving the efficiency of DMS-based assays.

bioRxiv · Sep 1, 2026 · PreprintBioinformatics