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cluster3_1.50.orig.tar.gz

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/cluster-1.50/README

Open Source Clustering Software
===============================

The Open Source Clustering Software consists of the most commonly used routines
for clustering analysis of gene expression data. The software packages below all
depend on the C Clustering Library, which is a library of routines for
hierarchical (pairwise single-, complete-, maximum-, and average-linkage)
clustering, k-means clusterin
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/cluster-1.50/data/README

The file cyano.txt contains the gene expression data, after preprocessing and
linear spline fitting, of a time-course cDNA microarray experiment of the
cyanobacterium Synechocystis sp PCC 6803 under high light conditions.
This experiment is described in
Yukako Hihara, Ayako Kamei, Minoru Kanehisa, Aaron Kaplan, and Masahiko Ikeuchi:
"DNA Microarray Analysis of Cyanobacterial Gene Expression during
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/cluster-1.50/example/README

The file example.c contains a small C program that calls the routines in the
C Clustering Library. To compile this program, type "make".

If you want to call the routines in the C Clustering Library, in most cases the
file data.c is not needed. This file contains code to communicate between the
GUI program Cluster 3.0 and the routines in the C Clustering Library. For your
own program, you only nee
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/cluster-1.50/python/test/README

If you use Pycluster, you can test your installation by running
  python setup.py test
from the top 
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/cluster-1.50/NEWS

2010.12.27
Modified Pycluster/Bio.Cluster to be able to compile and run with Python 3.
Changed the n
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/cluster-1.50/ChangeLog

2010.04.05
Remove the #include's of stdio.h where they are not needed (perl/Cluster.xs,
src/cluster.
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/cluster-1.50/TODO

GUI versions:
-------------
Add SOM cluster result to output files
Add GORDER/EORDER fields to SOM o
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/cluster-1.50/AUTHORS

Michiel de Hoon (currently at the RIKEN Omics Science Center),
SunYong Kim, Seiya Imoto, and Satoru 
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