Author

Mark Reid Groseclose

GlaxoSmithKline (United States)ORCID 0000-0002-9783-4057Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Bart De MooriD· 1 shared Etienne WaelkensiD· 1 shared Marc ClaeseniD· 1 shared Nico VerbeeckiD· 1 shared Thomas MoermaniD· 1 shared Wanqiu ZhangiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Bart De MoorORCID

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1 paper

Recent·Most cited

Spatially-Aware Clustering of Ion Images in Mass Spectrometry Imaging Data Using Deep Learning

Wanqiu Zhang, Marc Claesen, Thomas Moerman, Mark Reid Groseclose, Etienne Waelkens, Bart De Moor, Nico Verbeeck

This paper uses deep learning to improve clustering of mass spectrometry imaging data by transforming ion images into neural ion images, resulting in more consistent and fine-grained spatial clusters.

Analytical and Bioanalytical Chemistry · Mar 1, 2021Peer-reviewedBioinformatics