R: Probe mapping of the Expression features of the training set

Map.Exp {iC10TrainingData} | R Documentation

## Probe mapping of the Expression features of the training set

### Description

Probe mapping of the Expression features of the training set

### Usage

    data(Map.Exp)

### Format

A data frame with 711 observations on the following 10 variables.

`Probe_ID`

  a character vector with the Illumina probe ids that flank the features

`Gene_symbol`

  a factor with the hugo gene names

`Ensembl_ID`

  a factor with the ensemble ids

`Cytoband`

  a factor with the cytobands (on hg18)

`Genomic_location_hg18`

  a factor with the genomic locations on hg18

`chromosome_name_hg18`

  a numeric vector with the chromosome on hg18

`start_position_hg18`

  a numeric vector with the start position on hg18

`end_position_hg18`

  a numeric vector with the end position on hg18

`Synonyms_0`

  a character vector with the gene name synonyms of the feature

`Gene.Chosen`

  a character vector (YES or NO) specifiying the probe chosen for gene-based selection

`Genomic_location_hg19`

  a factor with the genomic locations on hg19

`chromosome_name_hg19`

  a numeric vector with the chromosome on hg19

`start_position_hg19`

  a numeric vector with the start position on hg19

`end_position_hg19`

  a numeric vector with the end position on hg19

### Source

Curtis et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature 2012; 486:346-352.

### Examples

    data(Map.Exp)
    head(Map.Exp)

[Package iC10TrainingData version 1.3.1 Index]