pLSA - Probabilistic Latent Semantic Analysis of Imaging Mass Spectrometry Data in MATLAB

Hanselmann, Michael; Kirchner, Marc; Renard, Bernhard; Hamprecht, Fred

doi:10.5281/zenodo.13236834

Published October 8, 2008 | Version v1

Software Open

pLSA - Probabilistic Latent Semantic Analysis of Imaging Mass Spectrometry Data in MATLAB

1. Robert Bosch (Germany)

This package contains MATLAB code to perform a probabilistic Latent Semantic Analysis of Imaging Mass Spectrometry Data. In contrast to other unsupervised methods like Principal Component Analysis or Independent Component Analysis this method accounts for the non-negativity of mass spectra. A simple peak-picker based on local maximum detection is included for feature extraction.

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Is described by: Publication: 10.1021/ac801303x (DOI)
Obsoletes: Software: https://hci.iwr.uni-heidelberg.de/content/plsa (URL)

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Heidelberg Collaboratory for Image Processing (HCI)

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Copyright (c) 2008 Michael Hanselmann, Marc Kirchner, Bernhard Y. Renard, and Fred A. Hamprecht This software was developed by Michael Hanselmann, Marc Kirchner, Bernhard Y. Renard, and Fred A. Hamprecht. Enquiries shall be directed to michael.hanselmann@iwr.uni-heidelberg.de. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The names of the authors must not be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Created: February 25, 2025
Modified: February 25, 2025

pLSA - Probabilistic Latent Semantic Analysis of Imaging Mass Spectrometry Data in MATLAB

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mip_plsa_code.zip

Files (14.6 kB)

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