Searched for: subject%3A%22Machine%255C+learning%22
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Anderson, David M G (author), Kotnala, Ankita (author), Migas, L.G. (author), Patterson, N. Heath (author), Tideman, L.E.M. (author), Ach, Thomas (author), Tortorella, Sara (author), Van de Plas, Raf (author), Curcio, Christine A. (author), Schey, Kevin L. (author)
Introduction: Age related macular degeneration (AMD) causes legal blindness worldwide, with few therapeutic targets in early disease and no treatments for 80% of cases. Extracellular deposits, including drusen and subretinal drusenoid deposits (SDD; also called reticular pseudodrusen), disrupt cone and rod photoreceptor functions and strongly...
journal article 2023
document
Esselman, Allison B. (author), Patterson, Nathan Heath (author), Migas, L.G. (author), Dufresne, Martin (author), Djambazova, Katerina V. (author), Colley, Madeline E. (author), Van de Plas, Raf (author), Spraggins, Jeffrey M. (author)
The glomerulus is a multicellular functional tissue unit (FTU) of the nephron that is responsible for blood filtration. Each glomerulus contains multiple substructures and cell types that are crucial for their function. To understand normal aging and disease in kidneys, methods for high spatial resolution molecular imaging within these FTUs...
journal article 2023
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Sharman, Kavya (author), Patterson, Nathan Heath (author), Weiss, Andy (author), Neumann, Elizabeth K. (author), Guiberson, Emma R. (author), Ryan, Daniel J. (author), Gutierrez, Danielle B. (author), Spraggins, Jeffrey M. (author), Van de Plas, Raf (author), Skaar, Eric P. (author), Caprioli, Richard M. (author)
Spatially targeted proteomics analyzes the proteome of specific cell types and functional regions within tissue. While spatial context is often essential to understanding biological processes, interpreting sub-region-specific protein profiles can pose a challenge due to the high-dimensional nature of the data. Here, we develop a multivariate...
journal article 2023
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Tideman, L.E.M. (author), Migas, L.G. (author), Djambazova, Katerina V. (author), Patterson, Nathan Heath (author), Caprioli, Richard M. (author), Spraggins, Jeffrey M. (author), Van de Plas, Raf (author)
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impractical due to the large size and high-dimensionality of IMS datasets. Instead, we propose an...
journal article 2021
Searched for: subject%3A%22Machine%255C+learning%22
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