TrainingSet_Sample_sheet | R Documentation |
A dataset containing the IDs & paths to the 450k microarrays used as training set to infer the reference KCN as described in the paper. Reference ASCAT data needed to estimate each KCN is extracted from a previous work https://github.com/riazn/biallelic_hr.git.
A dataset containing the IDs & paths to the 450k microarrays used as training set to infer the reference KCN as described in the paper. Reference ASCAT data needed to estimate each KCN is extracted from a previous work https://github.com/riazn/biallelic_hr.git.
data(TrainingSet_Sample_sheet) data(all_CN_ASCAT)
A data frame with 442 rows and 10 variables:
Unique identifier of the sample. TCGA barcode, 28 chars
location of the idat files for each sample
Primary Cancer Site
Imputed purity from the array
Purity ref. value Purity predicted from SNPs array.
Amplified genes (5 to 10 copies) called by ASCAT
Largely amplified genes (> 10 copies) called by ASCAT
Gains (3 & 4 copies) called by ASCAT
Missing 1 allele (1 copy) called by ASCAT
Deleted gene in both alleles (0 copies)by ASCAT
A data frame with 442 rows and 10 variables:
Cancer project name ex: TCGA-cancer
Unique identifier of the sample. TCGA barcode, 12 chars
Path to origin file with CN calls
Copy number state called by ASCAT for gene_name
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