Sample size for detecting differentially expressed genes in microarray experiments

被引:0
|
作者
Caimiao Wei
Jiangning Li
Roger E Bumgarner
机构
[1] University of Washington,Department of Microbiology
[2] University of Washington,Department of Pathology
来源
关键词
Microarray Experiment; Require Sample Size; cDNA Array; High False Positive Rate; Noncentrality Parameter;
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
  • [31] Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments
    Dudoit, S
    Yang, YH
    Callow, MJ
    Speed, TP
    STATISTICA SINICA, 2002, 12 (01) : 111 - 139
  • [32] Detecting multivariate differentially expressed genes
    Roland Nilsson
    José M Peña
    Johan Björkegren
    Jesper Tegnér
    BMC Bioinformatics, 8
  • [33] Support Vector Machine Quantile Regression for Detecting Differentially Expressed Genes in Microarray Analysis
    Sohn, I.
    Kim, S.
    Hwang, C.
    Lee, J. W.
    Shim, J.
    METHODS OF INFORMATION IN MEDICINE, 2008, 47 (05) : 459 - 467
  • [34] A weighted average difference method for detecting differentially expressed genes from microarray data
    Koji Kadota
    Yuji Nakai
    Kentaro Shimizu
    Algorithms for Molecular Biology, 3
  • [35] A weighted average difference method for detecting differentially expressed genes from microarray data
    Kadota, Koji
    Nakai, Yuji
    Shimizu, Kentaro
    ALGORITHMS FOR MOLECULAR BIOLOGY, 2008, 3 (1)
  • [36] Detecting multivariate differentially expressed genes
    Nilsson, Roland
    Pena, Jose M.
    Bjorkegren, Johan
    Tegner, Jesper
    BMC BIOINFORMATICS, 2007, 8 (1)
  • [37] A non-parametric approach for identifying differentially expressed genes in factorial microarray experiments
    Qihua Tan
    Jesper Dahlgaard
    Werner Vach
    Basem M Abdallah
    Moustapha Kassem
    Torben A Kruse
    Genome Biology, 6 (4)
  • [38] Statistical tests for identifying differentially expressed genes in time-course microarray experiments
    Park, T
    Yi, SG
    Lee, S
    Lee, SY
    Yoo, DH
    Ahn, JI
    Lee, YS
    BIOINFORMATICS, 2003, 19 (06) : 694 - 703
  • [39] Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
    Stefano Parodi
    Vito Pistoia
    Marco Muselli
    BMC Bioinformatics, 9
  • [40] Identifying differentially expressed genes in microarray experiments with model-based variance estimation
    Cai, Xiaodong
    Giannakis, Georgios B.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (06) : 2418 - 2426