Mercurial > repos > eschen42 > w4mcorcov
annotate README @ 6:7bd523ca1f9a draft
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit cafda5095a79ce2376325b57337302f95137195d
author | eschen42 |
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date | Wed, 18 Jul 2018 12:35:55 -0400 |
parents | 23f9fad4edfc |
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23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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1 # w4mcorcov_galaxy_wrapper |
23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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2 |
23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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3 Planemo-based galaxy-tool-wrapper to wrap a SIMCA® OPLS-DA® S-PLOT® "work-alike" tool. |
23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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4 This tool plots the correlation of each feature with the OPLS-DA projection of multivariate data for two classes of data against the covariance of the same. |
23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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5 |
23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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6 The original plot which this tool emulates is described in: |
23f9fad4edfc
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
eschen42
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7 > Wiklund, Susanne and Johansson, Erik and Sjöström, Lina and Mellerowicz, Ewa J. and Edlund, Ulf and Shockcor, John P. and Gottfries, Johan and Moritz, Thomas and Trygg, Johan (2008). Visualization of GC/TOF-MS-Based Metabolomics Data for Identification of Biochemically Interesting Compounds Using OPLS Class Models. In Analytical Chemistry, 80 (1), pp. 115–122. doi:10.1021/ac0713510 |