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- W2243096065 abstract "We propose a new method for soft spatial segmentation of matrix assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) data which is based on probabilistic clustering with subsequent smoothing. Clustering of spectra is done with the Latent Dirichlet Allocation (LDA) model. Then, clustering results are smoothed with a Markov random field (MRF) resulting in a soft probabilistic segmentation map. We show several extensions of the basic MRF model specifically tuned for MALDI-IMS data segmentation. We describe a highly parallel implementation of the smoothing algorithm based on GraphLab framework and show experimental results." @default.
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- W2243096065 date "2012-01-01" @default.
- W2243096065 modified "2023-09-25" @default.
- W2243096065 title "A Two-Step Soft Segmentation Procedure for MALDI Imaging Mass Spectrometry Data" @default.
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- W2243096065 doi "https://doi.org/10.4230/oasics.gcb.2012.39" @default.
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