Correction of Copy Number Variation Data Using Principal Component Analysis

被引：0
作者：
Chen, Jiayu [1 ]
Liu, Jingyu [1 ,2 ]
Calhoun, Vince D. [1 ,2 ]
机构：
[1] Univ New Mexico, Dept Elect Engn, Albuquerque, NM 87131 USA
[2] Mind Res Network, Albuquerque, NM USA
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW) | 2010年
基金：
美国国家卫生研究院;
关键词：
copy number variation; Log R Ratio; principal component analysis;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Copy number variation (CNV) detection using SNP array data is challenging due to the low signal-to-noise ratio. In this study, we propose a principal component analysis (PCA) based correction to eliminate variance in CNV data induced by potential confounding factors. Simulations show a substantial improvement in CNV detection accuracy after correction. We also observe a significant improvement in data quality in real SNP array data after correction.
引用
收藏
页码：827 / 828
页数：2
相关论文
共 50 条
  • [21] Analyzing adsorption data of erythrosine dye using principal component analysis
    Al-Degs, Yahya S.
    Abu-El-Halawa, Rajab
    Abu-Alrub, Samer S.
    CHEMICAL ENGINEERING JOURNAL, 2012, 191 : 185 - 194
  • [22] Genomic data mining for species identification using principal component analysis
    Sen, S
    Narasimhan, S
    Konar, A
    Chakraborty, UK
    PROCEEDINGS OF THE 8TH JOINT CONFERENCE ON INFORMATION SCIENCES, VOLS 1-3, 2005, : 1256 - 1259
  • [23] TOC estimation from logging data using principal component analysis
    Zhang, Yaxiong
    Wang, Gang
    Wang, Xindong
    Fan, Haitao
    Shen, Bo
    Sun, Ke
    ENERGY GEOSCIENCE, 2023, 4 (04):
  • [24] Identifying silica types using viscosity data and principal component analysis
    Nascimento, Harrison Henri dos Santos
    Nascimento, Marcio Luis Ferreira
    JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS, 2021, 157
  • [25] Analysis of copy number variations and possible candidate genes in spontaneous abortion by copy number variation sequencing
    Bai, Wei
    Zhang, Qi
    Lin, Zhi
    Ye, Jin
    Shen, Xiaoqi
    Zhou, Linshuang
    Cai, Wenpin
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [26] Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra
    Beattie, J. Renwick
    Esmonde-White, Francis W. L.
    APPLIED SPECTROSCOPY, 2021, 75 (04) : 361 - 375
  • [27] Fault Localization for Synchrophasor Data using Kernel Principal Component Analysis
    Chen, Ruonan
    Sun, Xiaoying
    Liu, Guohong
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2017, 17 (04) : 37 - 42
  • [28] Copy Number Variation and Osteoporosis
    Lovsin, Nika
    CURRENT OSTEOPOROSIS REPORTS, 2023, 21 (02) : 167 - 172
  • [29] Copy Number Variation Disorders
    Tamim H. Shaikh
    Current Genetic Medicine Reports, 2017, 5 (4) : 183 - 190
  • [30] Copy Number Variation and Osteoporosis
    Nika Lovšin
    Current Osteoporosis Reports, 2023, 21 : 167 - 172
12345