Fuzzy methods for the detection of copy number variations in comparative genomic hybridization arrays

Saudi Journal of Biological Sciences

Hassan Mathkour¹  Ahmad AlShibli² 

[1] Corresponding author at: P.O. Box 230734, Riyadh, Saudi Arabia.;Department of computer science, College of computer and information sciences, King Saud University, Riyadh, Saudi Arabia;

关键词: Copy Number Variations;    Fuzzy Inference System;    Fuzzy c-means clustering;    Membership function;   

DOI  :  

来源: DOAJ

【 摘 要 】

Genomic copy number variations (CNVs) are considered as a significant source of genetic diversity and widely involved in gene expression and regulatory mechanism, genetic disorders and disease risk, susceptibility to certain diseases and conditions, and resistance to medical drugs. Many studies have targeted the identification, profiling, analysis, and associations of genetic CNVs. We propose herein two new fuzzy methods, taht is, one based on the fuzzy inference from the pre-processed input, and another based on fuzzy C-means clustering. Our solutions present a higher true positive rate and a lower false negative with no false positive, efficient performance and consumption of least resources.

【 授权许可】

Unknown