Description Usage Arguments See Also Examples
View source: R/mutsigcl_global.R
Permutation-based identification of hotspot-enriched genes without taking into account mutational contexts.
1 2  | mutsigcl_global(Oncotator_file, NCBI_CCDS_GeneID2CDS_Positions_Rdata_file, d=NULL, NCBI_CCDS_GeneID2CDS_Positions=NULL, nperm=20000, outfile='mutsigcl_global_output.txt', exclude_indel=TRUE)
generate_mutsigcl_global_bkgr_info(CCDS_current_file)
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Oncotator_file | 
 Oncotator annotated file.  | 
NCBI_CCDS_GeneID2CDS_Positions_Rdata_file | 
 Gene info derived from   | 
d | 
 A data frame refers to   | 
NCBI_CCDS_GeneID2CDS_Positions | 
 The R object stored in   | 
nperm | 
 Number of permutation.  | 
outfile | 
 Output file.  | 
exclude_indel | 
 If TRUE exclude indels.  | 
mutsig.gene,mutsig.pathway,mutsigclfn
1 2 3 4 5 6 7  | library(parallel)
library(fastcluster) # accelerate MutSigCL analysis
options(mc.cores=4)  # Use 4 cores in permutation.
# NCBI_CCDS_GeneID2CDS_Positions <- generate_mutsigcl_global_bkgr_info("CCDS.current.txt") ## Generate bkgr info for CCDS genes if required
NCBI_CCDS_GeneID2CDS_Positions_Rdata_file="/ifshk1/BC_CANCER/03user/lixiangchun/iCGA/v0.02/NCBI_CCDS_GeneID2CDS_Positions.RData"
# mutsigcl_global("exomic.maf", NCBI_CCDS_GeneID2CDS_Positions_Rdata_file)
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