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BioMed Research International
Volume 2013 (2013), Article ID 870795, 7 pages
http://dx.doi.org/10.1155/2013/870795
Research Article

Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores

1Institute of Systems Biology, Shanghai University, 99 ShangDa Road, Shanghai 200444, China
2State Key Laboratory of Medical Genomics, Institute of Health Sciences, Shanghai Jiaotong University School of Medicine and Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, China
3College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
4College of Life Science, Shanghai University, 99 ShangDa Road, Shanghai 200444, China

Received 19 August 2013; Accepted 23 September 2013

Academic Editor: Tao Huang

Copyright © 2013 Tao Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Material 1:The ID of yeast 1462 proteins with phenotype annotation.

Supplementary Material 2:The MaxRel and mRMR feature tables using mRMR method.

Supplementary Material 3: The 11 order prediction accuracies based on mRMR features list using kNNA-based method (k=1,2, ...31).

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