.png){kind=icon}
返回
CNV detection method optimized for high-resolution arrayCGH by normality test
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compbiomed.2011.12.015.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
High-resolution arrayCGH platform makes it possible to detect small gains and losses which previously could not be measured. However, current CNV detection tools fitted to early low-resolution data are not applicable to larger high-resolution data. When CNV detection tools are applied to high-resolution data, they suffer from high false-positives, which increases validation cost. Existing CNV detection tools also require optimal parameter values. In most cases, obtaining these values is a difficult task. This study developed a CNV detection algorithm that is optimized for high-resolution arrayCGH data. This tool operates up to 1500 times faster than existing tools on a high-resolution arrayCGH of whole human chromosomes which has 42 million probes whose average length is 50 bases, while preserving false positive/negative rates. The algorithm also uses a normality test, thereby removing the need for optimal parameters. To our knowledge, this is the first formulation for CNV detecting problems that results in a near-linear empirical overall complexity for real high-resolution data. (c) 2012 Elsevier Ltd. All rights reserved.
Keyword:
Data mining
Copy number variation
High-resolution arrayCGH
Genome analysis
Normality test
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
8.3K
被引数:
3.3W
机构
引用论文
Evaluation of the antimalarial and antileishmanial activity of plants from the Greek island of Crete
PREAI
分享收藏Psychosocial aspects of health seeking behaviours of patients with Buruli ulcer in southern Benin贝宁南部布鲁里溃疡患者寻求健康行为的社会心理方面
PREAI
分享收藏A robust statistical method for case-control association testing with copy number variation.png)
NATURE GENETICS
OAAI
NATURE GENETICSIF31.8
OAAI分享收藏On Simultaneous AUV Localization with Single Acoustic Beacon using Angles Measurements2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)IF0
PREAI
分享收藏
查看更多内容