EisenYeast

yeast microarray data matrix

Saccharomices Cerevisiae data matrix

<p>Microarray data matrix for 80 experiments with Saccharomyces Cerevisiae organism
  by Eisen Lab.</p>

datasets

The main function biclust() provides several algorithms to
find biclusters in two-dimensional data: Cheng and Church (2000, ISBN:1-57735-115-0),
spectral (2003) <doi:10.1101/gr.648603>, plaid model (2005) <doi:10.1016/j.csda.2004.02.003>, xmotifs (2003) <doi:10.1142/9789812776303_0008> and bimax (2006) <doi:10.1093/bioinformatics/btl060>. In addition, the
package provides methods for data preprocessing (normalization
and discretisation), visualisation, and validation of bicluster
solutions.

Sebastian Kaiser

biclust

BiCluster Algorithms

EisenYeast function

<p>Data frame with information about the expression levels of 6221 genes over 80 conditions.
  Missing values have been imputed using k-nearest neighbor averaging implemented in
  impute.knn() from library 'impute' (using default k=10).
  Gene names follow ORF (Open Reading Format) notation.</p>

EisenYeast: Eisen Yeast

Description

Usage

Arguments

Format