Research article
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
-
* Corresponding authors: Yangyong Zhu yyzhu@fudan.edu.cn - Yixue Li yxli@sibs.ac.cn
1 School of Life Sciences, Fudan University, 220 Handan Road, Shanghai 200433, PR China
2 Department of Computing and Information Technology, Fudan University, 220 Handan Road, Shanghai 200433, PR China
3 Bioinformatics Center, Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, PR China
4 College of Life Sciences and Technology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, PR China
5 Shanghai Center for Bioinformation Technology, 100 Qinzhou Road, Shanghai 200235, PR China
6 Graduate School of the Chinese Academy of Sciences, 19 Yuquan Road, Beijing 100039, PR China
BMC Bioinformatics 2008, 9:282 doi:10.1186/1471-2105-9-282
Published: 16 June 2008Additional files
Additional file 1:
Swiss-Prot accession number of non-redundant training datasets. Accession number of Swiss-Prot for 450 TFs and 1727 non-TFs were included in the file. Class information for 138 TFs was also provided.
Format: PDF Size: 157KB Download file
This file can be viewed with: Adobe Acrobat Reader
