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MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
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* Corresponding author: Torsten Blum blum@informatik.uni-tuebingen.de
Division for Simulation of Biological Systems, ZBIT/WSI, Eberhard-Karls-Universität Tübingen, Germany
BMC Bioinformatics 2009, 10:274 doi:10.1186/1471-2105-10-274
Published: 1 September 2009Additional files
Additional file 1:
Supplementary Materials. Supplementary Materials (PDF file) include description of some methodology details such as the NCBI genomes used in PhyloLoc, the number of GO terms used in GOLoc, and an overview of the MultiLoc2-LowRes architecture. In addition, result details are provided including the performance evaluation on the independent datasets without GO terms.
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