PermutMatrix is a program to perform graphical analysis of a dataset.
It implements several types of cluster analysis and a variety of methods for
statistical seriation.
Numerical values from the dataset are converted into a gradation of colours.
Then rows and/or columns are permuted in such a way that a structure appears.
A row or column ordering that reveals a statistical organisation in the dataset
is searched.
This approach has been widely used for many years in archaeology, sociology and operational research.
It has new applications in biology, owing to Eisen's work on the use of hierarchical clustering for gene expression data.On this site you will find practical information about the software, a download
area and directions for use.
You can also test
the action of some icons or simulate the treatment of two datasets: a theoretical
dataset (Guttman)
and a real dataset (Wood).
PermutMatrix is designed for MS Windows only.
References:
Caraux, G., and Pinloche, S. (2005), "Permutmatrix: A Graphical Environment
to Arrange Gene Expression Profiles in Optimal Linear Order," Bioinformatics,
21, 1280-1281.
Eisen, M. B., Spellman, P. T., Brown, P. O., and Botstein, D. (1998), "Cluster
Analysis and Display of Genome-Wide Expression Patterns," Proc. Natl.
Acad. Sci. USA, 95, 14863-14868.