Dramatically Reduced Precision in Microarray Analysis Retains Quantitative Properties and Provides Additional Benefits
Publisher
Springer New York
Reference9 articles.
1. Chen Y, Kamat V, Dougherty ER, Bittner ML, Meltzer PS, Trent JM (2002) Ratio statistics of gene expression levels and applications to microarray data analysis. Bioinformatics 18(9):1207–1215
2. Cho RJ, Campbell MJ, Winzeler EA, Steinmetz L, Conway A, Wodicka L, Wolfsberg TG, Gabreilian AE, Landsman D, Lockhart DK, Davis RW (1998) A genome-wide transcriptional analysis of the mitotic cell cycle. Molecular Cell 2:65–73
3. Cui X, Churchill GA (2003) Statistical tests for differential expression in cDNA microarray experiments. Genome Biology 4(4):210
4. Erdal S, Ozturk O, Armbruster D, Ferhatosmanoglu H, Ray WC (2004) A time series analysis of microarray data. Transactions of the IEEE Fourth International Symposium on Bioinformatics and Bioengineering BIBE 2004, pp. 366–378
5. Guo Z, Guilfoyle RA, Thiel AJ, Wang R, Smith LM (1994) Direct flourescence analysis of genetic polymorphisms by hybridization with oligonucleotide arrays on glass supports. Nucleic Acids Research 22:5456–5465