Evaluating different methods of microarray data normalization

被引:0
|
作者
André Fujita
João Ricardo Sato
Leonardo de Oliveira Rodrigues
Carlos Eduardo Ferreira
Mari Cleide Sogayar
机构
[1] University of São Paulo,Institute of Mathematics and Statistics
[2] Rua do Matão,Chemistry Institute
[3] University of São Paulo,undefined
来源
关键词
Support Vector Regression; Kernel Regression; Spline Smoothing; High Gene Expression; Sinusoid Shape;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Normalization of DNA Microarray Data with BIC Model Comparison
    Okazaki, Takeo
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2014, 14 (03): : 9 - 15
  • [42] Robust normalization of microarray data over multiple experiments
    Norman Morrison
    Magnus Rattray
    Martin Brutsche
    Stephen G. Oliver
    Andrew Hayes
    Nianshu Zhang
    Chris Penkett
    Jacqui Lockey
    Sudha Rao
    Ian Hayes
    Ray Jupp
    Andy Brass
    Nature Genetics, 1999, 23 (Suppl 3) : 64 - 64
  • [43] Review of Data Normalization Methods
    Yang, Hanyu
    Zhao, Xiaoyong
    Wang, Lei
    Computer Engineering and Applications, 2024, 59 (03) : 13 - 22
  • [44] Metric for Evaluating Normalization Methods in Multiobjective Optimization
    He, Linjun
    Ishibuchi, Hisao
    Srinivasan, Dipti
    PROCEEDINGS OF THE 2021 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'21), 2021, : 403 - 411
  • [45] Evaluating spatial normalization methods for the human brain
    Smith, Veronica S.
    Shapiro, Linda G.
    Hanlon, Donna
    Martin, Richard F.
    Brinkley, James F.
    Poliakov, Andrew V.
    Ojemann, George A.
    Corina, David P.
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5331 - 5334
  • [46] Development of a Common Oligonucleotide Reference Standard for Microarray Data Normalization and Comparison across Different Microbial Communities
    Liang, Yuting
    He, Zhili
    Wu, Liyou
    Deng, Ye
    Li, Guanghe
    Zhou, Jizhong
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2010, 76 (04) : 1088 - 1094
  • [47] RMA with quantile normalization mixes biological signals between different sample groups in microarray data analysis
    Kim, Chang Sik
    Hwang, Seungwoo
    Zhang, Shu-Dong
    2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2014,
  • [48] Evaluating methods for ranking differentially expressed genes applied to microArray quality control data
    Kadota, Koji
    Shimizu, Kentaro
    BMC BIOINFORMATICS, 2011, 12
  • [49] Evaluating methods for ranking differentially expressed genes applied to microArray quality control data
    Koji Kadota
    Kentaro Shimizu
    BMC Bioinformatics, 12
  • [50] Statistical methods and microarray data
    Lev Klebanov
    Xing Qiu
    Stephen Welle
    Andrei Yakovlev
    Nature Biotechnology, 2007, 25 : 25 - 26