Classification of colon cancer based on the expression of randomly selected genes
作者： X.H. Tan , R. Cheng , H.P. Hu , Y.P. Bai
DOI: 10.4238/2015.OCTOBER.19.6
关键词: Oncology 、 Gene expression 、 Colorectal cancer 、 Biology 、 Stage (cooking) 、 Gene selection 、 Text mining 、 Bioinformatics 、 Classification methods 、 Cross-validation 、 Gene 、 Internal medicine
摘要: In order to ascertain the relationship between gene expression and colon cancer localization, a classification method based on random selection self-organizing map network is proposed. Different numbers of genes were selected randomly from 54,675 53 patients in stage union for international control II. These then divided into two sets: training set 36 validation 17 patients. this study, we 1000, 100, 50, 30, 10, 5, 3 genes, 1000 times, respectively. The minimum misclassification ratio each group was 3/17 4/17, percentage groups that less than 0.25 approximately 1-7%. Moreover, most (about 82-89%) lower 0.4. Through analysis these low groups, found there few common them. This revealed localization not associated with single but many groups. Furthermore, K-fold cross used test reliability possible informative results indicated using classify tumor feasible.
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