A multiresolution approach to automated classification of protein subcellular location images
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* Corresponding author: Amina Chebira amina@cmu.edu
1 Center for Bioimage Informatics and Dept. of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
2 Dept. of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
3 Depts. of Biological Sciences and Machine Learning, Carnegie Mellon University, Pittsburgh, PA, USA
4 Dept. of Communication Systems, Swiss Federal Institute of Technology, Lausanne, Switzerland
BMC Bioinformatics 2007, 8:210 doi:10.1186/1471-2105-8-210
Published: 19 June 2007Additional files
Additional file 1:
Compendium. 07_ChebiraBJMSMK_compendium.zip. This file is a compressed archive that contains the code that generated the results in this paper, the pseudo-code for the weighting algorithms, Table 1 with detailed results and index files of the web site containing all of this material [17].
Format: ZIP Size: 474KB Download file or display content in a new window
