scna | R Documentation |
— Deprecated! USe Kc_make —- Function to obtain mean intercept and variance from a reference gene set and a particular copy number state
scna(ID, log2file, segfile, ss, cn, ref_genes = "all")
ID |
name of sample. Must be in Sample_Name column. |
log2file |
file with log2r values, which are the fitted log intensity value against the reference set returned by CNV.fit function from CONUMEE. |
segfile |
file containing segment data from conumee. The segments are generated with CONUMEE CNV.segment(CNV.detail(CNV.bin(fit))) |
ss |
Sample sheet containing purities, cnstate and Sample_Name ids. |
cn |
Sample sheet column name containing reference gene set for that cn. |
ref_genes |
Granges object with subset of genes to use for cnv analysis. default = "paper" |
dataframe with input data for linear model. Int, mean and Var .
ss<-data.table::fread("analysis/ChAMP/Sample_Sheet.txt") res<-scna(ID="TCGA-05-4405-01A-21D-1856-05",ss=ss,ref_genes="paper",cn="Amp", log2file="analysis/CONUMEE/log2/TCGA-05-4405-01A-21D-1856-05_log2.txt", segfile="analysis/CONUMEE/Segments_TCGA-05-4405-01A-21D-1856-05.txt") res
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