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Cytometry Development Workshop
Lab Research Topics
Murphy Lab - Software - Bioinformatics 2013 Local Features for Improved Generalization
The software and raw data used for the following paper can be downloaded below:
Luis Pedro Coelho, Joshua D. Kangas, Armaghan Naik, Elvira Osuna-Highley, Estelle Glory-Afshar, Margaret Fuhrman, Ramanuja Simha, Peter B. Berget, Jonathan W. Jarvik, and Robert F. Murphy (2013) Local Features Provide Better Generalization of Subcellular Location Classifiers to New Proteins. Bioinformatics 29: 2343-2349.
The following files are compressed with tar and gzip
Recreating Results from Raw Image DataTo recreate the results from the article (i.e. the figures and tables) from the raw image data,
Download and expand the source code file above to the desired directory.
tar -xzf LocalFeaturesSource.tgz
Download and expand the raw images for the RandTag and HPA datasets above into the data subdirectory
Run the following command, which will download the rest of the images and run everything (this will take over a day on a single processor)
Last Updated: 21 Feb 2014
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