The five SAM test statistics calculated for both the increasing and decreasing trends
The function calculates the values for the five SAM test statistics (the global likelihood test, Williams, Marcus, M, and the modified M) for the most likely direction.
IsoGenemSAM(x, y, fudge.factor)
- indicates the dose levels
- gene expression for all genes
- the fudge factor values to be used in the SAM test statistics
A list with components
- the SAM test statistic of global likelihood test for the likely direction of each gene.
- the test statistic of Williams for the likely direction of each gene.
- the test statistic of Marcus for the likely direction of each gene.
- the M test statistic for the likely direction of each gene.
- the test statistic of the modified M for the likely direction of each gene.
- the direction with the higher likelihood of increasing (indicated by "u") or decreasing (indicated by "d") trend.
This function calculates the five test statistics for both increasing and decreasing ordered alternatives for all the genes (rows in the data set).
Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R, Lin D., Shkedy Z., Yekutieli D., Amaratunga D., and Bijnens, L. (editors), (2012), Springer.
Testing for Trend in Dose-Response Microarray Experiments: a Comparison of Testing Procedures, Multiplicity, and Resampling-Based Inference, Lin et al. 2007, Stat. App. in Gen. & Mol. Bio., 6(1), article 26.
IsoGene: An R Package for Analyzing Dose-response Studies in Microarray Experiments, Pramana S., Lin D., Haldermans P., Shkedy Z., Verbeke T., De Bondt A., Talloen W., Goehlmann H., Bijnens L. 2010, R Journal 2/1.