Evaluation of Different Classification Models to Extract Gene Signatures for Breast Cancer Recurrence Using Microarray Data
Background: In this study, we aimed to improve the reliability and biological interpretability of gene signatures selected from microarrays by efficient usage of computational models and mathematical algorithms. Methods: At the first step, a good model with high accuracy was chosen to predict cance...
Main Authors: | Mohammadreza Sehhati, Mina Kayed |
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Format: | Article |
Language: | fas |
Published: |
Vesnu Publications
2017-04-01
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Series: | مجله دانشکده پزشکی اصفهان |
Subjects: | |
Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/7469 |
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