ciberAMP | R Documentation |
Perform joint expression and copy-number variation analyses on a set of genes using a set of tumor samples.
CiberAMP LUSC/HNSC example data (genes)
ciberAMP( genes = c(), cohorts = c(), writePath = NULL, pat.percentage = 0, pp.cor.cut = 0.6, norm.method = "geneLength", filt.method = "quantile", filt.qnt.cut = 0.25, filt.var.func = "IQR", filt.var.cutoff = 0.75, filt.eta = 0.05, filt.FDR.DEA = 0.05, filt.FC = 0.58, cna.thr = "Deep", exp.mat = NULL, cna.mat = NULL ) data(ciberAMP)
genes |
Vector of approved queried genes symbols to be analyzed. |
cohorts |
Vector of TCGA cohorts IDs. See function |
writePath |
Path where results are stored. Defaults to the current folder. |
pat.percentage |
Minimum percentage of patients per group. |
pp.cor.cut |
Threshold to filter samples by AICC. Passed to 'TCGAanalyze_Preprocessing'. |
norm.method |
Method of normalization, such as 'gcContent' or 'geneLength' (default). Passed to 'TCGAanalyze_Normalization'. |
filt.method |
Method of filtering, such as 'quantile' (default), 'varFilter', 'filter1', 'filter2'. |
filt.qnt.cut |
Threshold selected as mean for filtering. Defaults to 0.25. |
filt.var.func |
Filtering function. Defaults to 'IQR'. See 'genefilter' documentation for available methods. |
filt.var.cutoff |
Threshold for 'filt.var.funct'. |
filt.eta |
Parameter for 'filter1'. Defaults to 0.05. |
filt.FDR.DEA |
Threshold to filter differentially expressed genes according their adjusted p-value. Passed to 'TCGAanalyze_DEA'. |
filt.FC |
Minimum log2(FC) value to considered a gene as differentially expressed. Defaults to 1. |
cna.thr |
Threshold level for copy-number variation analysis. Can be 'Deep', 'Shallow' or 'Both'. 'Deep', to consider homozygous deletions and high-level broad amplifications. 'Shallow', to consider hemyzygous deletions and low-level focal amplifications. 'Both', to consider deep and shallow amplifications/deletions in the same group: one group -> deep + shallow amp; second group -> deep + shallow del. |
exp.mat |
Custom normalized RNAseq counts expression matrix of only tumors. Defaults to 'NULL'. |
cna.mat |
Custom copy-number analysis matrix of only tumors. Defaults to 'NULL'. |
An object of class "cross"
; see read.cross
.
List containing three data frames: 1 - SCNA-mRNA correlations for queried genes 2 - SCNA-mRNA correlations for Cancer Census genes (COSMIC) | Known oncodriver/TSGs. 3 - SCNA overlapping between queried and CGC genes.
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