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)
|
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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