  Methodology articleReconstruction of human protein interolog network using evolutionary conserved networkTao-Wei Huang1 1 Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan 2 Institute of Information Science, Academia Sinica, Taipei 115, Taiwan 3 Division of Biostatistics and Bioinformatics, National Health Research Institutes, Taipei 115, Taiwan 4 Institute of Fishery Science, National Taiwan University, Taipei 106, Taiwan 5 Institute for Information Industry, Taipei 106, Taiwan
BMC Bioinformatics 2007, 8:152doi:10.1186/1471-2105-8-152
Additional filesAdditional file 1: Data set of all predicted protein-protein interaction. A plain text with tab-delimited format. Column 1 through 12 are two protein UniProt IDs, two protein, InParanoid (IP) scores, normalized C, I, D, T, L, P, CS and p-value, respectively. Format: TXT Size: 9.6MB Download file Additional file 2: Distributions of the various components of the confidence metrics and ANOVA tests between different interaction data sets. This file contains distributions of the various feature scores (D, T, L, P) and ANOVA tests between different interaction data sets, i.e. KNOWN2, TP4, TP0, BTP, PU4, PU0, BPU and RANDOMS. Format: PDF Size: 42KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 3: Top 20 total predicted putative interacting protein pairs not present in existing experimental data sets (KNOWN2). The top 20 predicted putative interacting protein pairs are listed with their OMIM ID, GO 'molecular function' and 'biological process' annotations and UniProt functional keywords. Format: PDF Size: 78KB Download file This file can be viewed with: Adobe Acrobat Reader |
|
|
|
 |  | Log on / register Feedback | Support | My details |
on Google Scholar
author email
corresponding author email|
|
| © 1999-2009 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media. |