Statistical test for survival and called copy number data. The testing is recommended to be performed after running the Identify common regions from called aCGH data tool.
Perform the logrank test for survival with called copy number data. The significance of the p-values is evaluated through permutations, and a false discovery rate is calculated. At least 10,000 permutations are recommended for final calculations, and this will require a significant amount of time. Testing can be performed only for gains/losses, or both.
The input table appended with with p-values and false discovery rates.
Wiel et al. (2005) CGHMultiArray: exact p-values for multi-array comparative genomic hybridization data. Bioinformatics 21: 3193-3194