micma: Subset of 244K aCGH data

In copynumber: Segmentation of single- and multi-track copy number data by penalized least squares regression.

Description

A subset of the 244K MicMa data set containing copy number measurements for six samples on chromosome 17.

Usage

data(micma)

Format

Data frame containing 7658 probes with log2-ratio copy numbers for 6 samples on chromosome 17. The first column contains the chromosome numbers, the second gives the local probe positions (in base pairs), while the subsequent columns contain the copy number measurements for the individual samples.

Source

Mathiesen et al., "High resolution analysis of copy number changes in disseminated tumor cells of patients with breast cancer", Int J Cancer 131(4):E405:E415, 2011

Examples

#Get data
data(micma)

Example output

Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colMeans, colSums, colnames,
    dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
    intersect, is.unsorted, lapply, lengths, mapply, match, mget,
    order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
    rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
    union, unique, unsplit, which, which.max, which.min

copynumber documentation built on Nov. 8, 2020, 6:10 p.m.