cn.mat: DNA copy number data from 98 head and neck squamous cell...
In MVisAGe: Compute and Visualize Bivariate Associations
Description
Usage
Format
Source
Description
Quantitative gene-level DNA copy number measurements for 98 samples from The
Cancer Genome Atlas (TCGA) HNSC cohort. The all_data_by_genes.txt dataset from
the GISTIC2 output was restricted to the first 100 columns and genes that lie
on chromosomes 11 and 12. Genes appear in rows; samples appear in columns (other
than the first two columns described below). Gene symbols are used as row
names and sample identifiers are used as column names (other than the first two columns).
Usage
1
Format
A matrix with 2719 rows and 100 columns
- Locus.ID
gene identifier
- Cytoband
cytoband containing the gene of interest
- Remaining Columns
quantitative DNA copy number
- Column names
sample identifiers (other than the first two columns)
- Row names
gene symbols
Source
https://gdac.broadinstitute.org/
MVisAGe documentation built on May 1, 2019, 8:18 p.m.
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Description Usage Format Source
Description
Quantitative gene-level DNA copy number measurements for 98 samples from The Cancer Genome Atlas (TCGA) HNSC cohort. The all_data_by_genes.txt dataset from the GISTIC2 output was restricted to the first 100 columns and genes that lie on chromosomes 11 and 12. Genes appear in rows; samples appear in columns (other than the first two columns described below). Gene symbols are used as row names and sample identifiers are used as column names (other than the first two columns).
Usage
1 |
Format
A matrix with 2719 rows and 100 columns
- Locus.ID
gene identifier
- Cytoband
cytoband containing the gene of interest
- Remaining Columns
quantitative DNA copy number
- Column names
sample identifiers (other than the first two columns)
- Row names
gene symbols
Source
https://gdac.broadinstitute.org/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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