Microarray-based expression profiling and informatics

被引：30
作者：
Simon, Richard [1 ]
机构：
[1] NCI, Bethesda, MD 20892 USA
来源：
CURRENT OPINION IN BIOTECHNOLOGY | 2008年 / 19卷 / 01期
关键词：
D O I：
10.1016/j.copbio.2007.10.008
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Microarray-based expression profiling is a powerful technology for studying biological mechanisms and for developing clinically valuable predictive classifiers. The high-dimensional read-out for each sample assayed makes it possible to do new kinds of studies but also increases the risks of misleading conclusions. We review here the current state-of-the-art for design and analysis of microarray-based investigations.
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页码：26 / 29
页数：4
相关论文
共 29 条
[1]   Selection bias in gene extraction on the basis of microarray gene-expression data [J].
Ambroise, C ;
McLachlan, GJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (10) :6562-6566
[2]   A Bayesian framework for the analysis of microarray expression data: regularized t-test and statistical inferences of gene changes [J].
Baldi, P ;
Long, AD .
BIOINFORMATICS, 2001, 17 (06) :509-519
[3]  
BENDOR A, 2000, J COMPUT BIOL, V7, P536
[4]   Sample size determination in microarray experiments for class comparison and prognostic classification [J].
Dobbin, K ;
Simon, R .
BIOSTATISTICS, 2005, 6 (01) :27-38
[5]   Questions and answers on design of dual-label microarrays for identifying differentially expressed genes [J].
Dobbin, K ;
Shih, JH ;
Simon, R .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2003, 95 (18) :1362-1369
[6]   Sample size planning for developing classifiers using high-dimensional DNA microarray data [J].
Dobbin, Kevin K. ;
Simon, Richard M. .
BIOSTATISTICS, 2007, 8 (01) :101-117
[7]   Comparison of discrimination methods for the classification of tumors using gene expression data [J].
Dudoit, S ;
Fridlyand, J ;
Speed, TP .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2002, 97 (457) :77-87
[8]  
Dudoit S, 2003, INTERDISC STAT, P93
[9]   Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting [J].
Dupuy, Alain ;
Simon, Richard M. .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2007, 99 (02) :147-157
[10]   Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data [J].
Jeffery, Ian B. ;
Higgins, Desmond G. ;
Culhane, Aedin C. .
BMC BIOINFORMATICS, 2006, 7 (1)
123