Name
Title | ||
|---|---|---|
Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method |
Abstract | ||
|---|---|---|
Recently, microarray technology has widely used on the study of gene expression in cancer diagnosis. The main distinguishing feature of microarray technology is that can measure thousands of genes at the same time. In the past, researchers always used parametric statistical methods to find the significant genes. However, microarray data often cannot obey some of the assumptions of parametric statistical methods, or type I error may be over expanded. Therefore, our aim is to establish a gene selection method without assumption restriction to reduce the dimension of the data set. In our study, adaptive genetic algorithm/k-nearest neighbor (AGA/KNN) was used to evolve gene subsets. We find that AGA/KNN can reduce the dimension of the data set, and all test samples can be classified correctly. In addition, the accuracy of AGA/KNN is higher than that of GA/KNN, and it only takes half the CPU time of GA/KNN. After using the proposed method, biologists can identify the relevant genes efficiently from the sub-gene set and classify the test samples correctly. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.eswa.2010.07.053 | Expert Syst. Appl. |
Keywords | Field | DocType |
gene selection method,sample classification,adaptive genetic algorithm,microarray data,gene subsets,k -nearest neighbor,gene selection,microarray technology,test sample,gene expression,k-nearest neighbor method,parametric statistical method,relevant gene,significant gene,type i error,k nearest neighbor | k-nearest neighbors algorithm,Data mining,Data set,Computer science,Parametric statistics,Microarray analysis techniques,Artificial intelligence,Gene chip analysis,Type I and type II errors,Genetic algorithm,Machine learning,Binary number | Journal |
Volume | Issue | ISSN |
38 | 5 | Expert Systems With Applications |
Citations | PageRank | References |
15 | 0.68 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chien-Pang Lee | 1 | 109 | 6.33 |
| Wen-Shin Lin | 2 | 17 | 1.37 |
| Yuh-Min Chen | 3 | 379 | 32.12 |
| Bo-Jein Kuo | 4 | 15 | 1.01 |