A fold change rank based method is presented to search for differentially expressed genes and to detect recurrent chromosomal copy number aberrations. This method may be useful for high-throughput biological data (microarray, sequencing, ...). Probabilities are associated with genes/probes in the dataset and there is no problem of multiple tests when using this method. For aCGH data, segmentation results are obtained by merging the significant probes detected.
|Date of publication||2016-11-17 08:27:34|
|Maintainer||Doulaye Dembele <email@example.com>|
|License||GPL (>= 2)|
cghData: Example of aCGH "data file" for the fcros package.
cghInfo: Example of aCGH "info file" for the fcros package.
fcros: Search for differentially expressed genes/probes
fcros2: Search for differentially expressed genes/probes
fcrosC: Search for differentially expressed genes/probes
fcrosFCmat: Calculation of a matrix of fold changes using pairwise...
fcrosMod: Search for differentially expressed genes or to detect...
fcros-package: A Method to Search for Differentially Expressed Genes and to...
fcrosRead: Read a tab delimited text file
fcrosTopN: Search for the top N changed genes or probes
fcrosTtest: Student t-test for detecting differentially expressed genes
fcrosWrite: Writing the fcros() or pfco() results in a tab delimited text...
fdata: Example of dataset for the fcros package.