Comparison of Different Classifiers for Prediction of Breast Cancer Metastasis in Microarray Analysis

Comparison of Different Classifiers for Prediction of Breast Cancer Metastasis in Microarray Analysis

Background: In this research, we investigated the performance of some different classifiers for prediction of metastasis in breast cancer. Methods: We used the DNA microarrays of primary breast tumors of 78 young patients. Among these patients, 34 had developed distant metastases within 5 years (po...

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Bibliographic Details
Main Authors: zahra Amini, Alireza Mehridehnavi
Format: Article
Language:fas
Published: Vesnu Publications 2014-09-01
Series:مجله دانشکده پزشکی اصفهان
Subjects:
Microarrays
Prediction of breast cancer
Support vector machine (SVM)
Stepwise linear discriminant analysis (SWLDA)
k-nearest neighbors (KNN) classifiers
Online Access:http://jims.mui.ac.ir/index.php/jims/article/view/3352

Internet

http://jims.mui.ac.ir/index.php/jims/article/view/3352

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