Multiclass Cancer Classification and Biomarker Discovery Using GA-based Algorithms

Running title: Multiclass tumor classifications discovering cancer biomarkers

Jane Jijun Liu§, Gene Cutler§, Wuxiong Li, Zheng Pan, Sihua Peng, Tim, Hoey, Liangbiao Chen and Xuefeng Bruce Ling*

§ Equal contributions
*Corresponding author: Tel: 1-650-244-2143, Email: xuefeng_ling@yahoo.com

-Online Support-

 

Data sets and Source code

Online supplementary tables and figures (download in one zipped PDF file) Supplementary Table 1 Supplementary Table 2 Supplementary Table 3 Supplementary Figure 1 Supplementary Figure 2 Supplementary Figure 3 Supplementary Figure 4 Supplementary Figure 5 Supplementary Figure 6 Supplementary Figure 7

NCI60 cell line data set: Cancer predictor gene name, ID, description and selection frequency Cancer subtyping studies: NSC gene marker summary

Brown human tumor data set: Cancer predictor gene name, ID, description and selection frequency Cancer subtyping studies: NSC gene marker summary

14-class cancer classification - GCM data set: Comparison of GA/SVM with other previously described multiclass tumor distinction methods

Detailed biological pathway analysis for NCI60 predictor genes (download in one zipped PDF file) Network 1, Network 2 , Network 3, Network 4 , Network 5, Network 6 , Network 7, Network 8 , Network 9, Network 10, Network 11, Network 12, Network 13, Network 14, Network 15, Network 16, Network 17, Network 18, Network 19, Network 20, Network 21, Network 22, Network 23, Network 24, Network 25, Network 26, Network 27, Network 28, Network 29, Network 30, Network 31, Network 32, Network 33, Network 34, Network 35, Network 36 , Network 37, Network 38, Network 39 , Network 40, Network 41, Network 42 , Network 43, Network 44, Network 45, Network 46, Network 47, Network 48, Network 49, Network 50, Network 51 , Network 52, Network 53, Network 54, Network 55, Network 56.