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Smets T, Waelkens E, De Moor B. Prioritization of . Anal Chem. 2020;92(7):5240-5248doi: 10.1021/acs.analchem.9b05764.
Smets, T., Waelkens, E., & De Moor, B. (2020). Prioritization of . Analytical chemistry, 92(7), 5240-5248. https://doi.org/10.1021/acs.analchem.9b05764
Smets, Tina, et al. "Prioritization of ." Analytical chemistry vol. 92,7 (2020): 5240-5248. doi: https://doi.org/10.1021/acs.analchem.9b05764
Smets T, Waelkens E, De Moor B. Prioritization of . Anal Chem. 2020 Apr 07;92(7):5240-5248. doi: 10.1021/acs.analchem.9b05764. Epub 2020 Mar 20. PMID: 32168446.
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Anal Chem. 2020 Apr 07;92(7):5240-5248. doi: 10.1021/acs.analchem.9b05764. Epub 2020 Mar 20.

Prioritization of .

Analytical chemistry

Tina Smets, Etienne Waelkens, Bart De Moor

Affiliations

  1. STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, 3001 Leuven, Belgium.
  2. Department of Cellular and Molecular Medicine, KU Leuven, 3001 Leuven, Belgium.

PMID: 32168446 DOI: 10.1021/acs.analchem.9b05764

Abstract

Mass spectrometry imaging (MSI) is a promising technique to assess the spatial distribution of molecules in a tissue sample. Nonlinear dimensionality reduction methods such as Uniform Manifold Approximation and Projection (UMAP) can be very valuable for the visualization of the massive data sets produced by MSI. These visualizations can offer us good initial insights regarding the heterogeneity and variety of molecular patterns present in the data, but they do not discern which molecules might be driving these observations. To prioritize the

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