A Discussion of Statistical Methods for Design and Analysis of Microarray Experiments for Plant Scientists
- 12 September 2006
- journal article
- Published by Oxford University Press (OUP) in Plant Cell
- Vol. 18 (9) , 2112-2121
- https://doi.org/10.1105/tpc.106.041616
Abstract
No abstract availableThis publication has 27 references indexed in Scilit:
- Microarray data analysis: from disarray to consolidation and consensusNature Reviews Genetics, 2006
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profilesProceedings of the National Academy of Sciences, 2005
- Quantitative Trait Loci Associated With Adventitious Shoot Formation in Tissue Culture and the Program of Shoot Development in ArabidopsisGenetics, 2004
- Factorial and time course designs for cDNA microarray experimentsBiostatistics, 2004
- A random variance model for detection of differential gene expression in small microarray experimentsBioinformatics, 2003
- Statistical design of reverse dye microarraysBioinformatics, 2003
- Design issues for cDNA microarray experimentsNature Reviews Genetics, 2002
- Assessing Gene Significance from cDNA Microarray Expression Data via Mixed ModelsJournal of Computational Biology, 2001
- Statistical design and the analysis of gene expression microarray dataGenetics Research, 2001
- Analysis of Variance for Gene Expression Microarray DataJournal of Computational Biology, 2000