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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Improved branch and bound algorithm for detecting SNP-SNP interactions in breast cancer

Li-Yeh Chuang1, Hsueh-Wei Chang, Ming-Cheng Lin

  • 1Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, Kaohsiung 80778, Taiwan. chyang@cc.kuas.edu.tw.

Journal of Clinical Bioinformatics
|February 16, 2013
PubMed
Summary

This study introduces an efficient algorithm to detect single nucleotide polymorphism (SNP) interactions associated with breast cancer risk. The findings identify specific SNP combinations that predict high or low risk, aiding in breast cancer association studies.

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