zakimjz / TriCluster

TriCluster and microCluster gene expression clustering algorithms

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

TriCluster 3D gene expression clustering algorithm

Tricluster is the first tri-clustering algorithm for microarray expression clustering. It builds upon our microCluster bi-clustering approach. Tricluster first mines all the bi-clusters across the gene-sample slices, and then it extends these into tri-clusters across time or space (depending on the third dimension). It can find both scaling and shifting patterns.

Lizhuang Zhao and Mohammed J. Zaki. TriCluster: an effective algorithm for mining coherent clusters in 3d microarray data. In ACM SIGMOD Conference on Management of Data. June 2005.

Lizhuang Zhao and Mohammed J. Zaki. Microcluster: an efficient deterministic biclustering algorithm for microarray data. IEEE Intelligent Systems, 20(6):40–49, Nov/Dec 2005. special issue on Data Mining for Bioinformatics.

How to

cd TriCluster and make

cd microCluster and make

Read README.md in each dir

About

TriCluster and microCluster gene expression clustering algorithms

License:Apache License 2.0


Languages

Language:C++ 99.6%Language:Makefile 0.4%