toydata: Simulated gene expression dataset.

Description Usage Examples

Description

A matrix with rows corresponding to genes and colums corresponding to observations (arrays). The first row contains the class labels (1 and 2), the following 2000 rows the gene expressions.
The gene expressions were drawn from a multivariate normal distribution of dimension 2000 with mean vector zero and an unstructured simulated covariance matrix drawn from an inverse Wishart distribution.
The first 40 genes are differentially expressed, the differences in the mean for the first class were drawn from a normal distribution.

Usage

1

Examples

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data(toydata)
## extract class labels
yy <- toydata[1,]
table(yy)
## extract gene expressions
xx <- toydata[-1,]

Example output

Loading required package: Biobase
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

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

yy
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GeneSelector documentation built on May 1, 2019, 11:35 p.m.