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Welcome to bioinformatics tools at CHIP (Children's Hospital Informatics Program).

MITree is a clusterin algorithm based on a straightforward geometric principle. Initially it was designed to be a binary hierarchical clustering algorithm for gene expression analysis. It is well described in Kim JH, Ohno-Machado L, Kohane IS. Unsupervised learning from complex data: the matrix incision tree algorithm. Pac Symp Biocomput 2001;:30-41. We also applied Evolution Strategy (i.e., a genetic algorithm) to the same problem. pdf

Implementation of MITree is available here with a typical input data format example (Fisher's iris data set), where data starts from the 4th column and 2nd row and tab-dilimited ascii text file. We don't have manual yet, though. MITree-K is a partitional version of MITree. Many variations of the algorithm is implemented in MITree software.

MITreeView is a simple tool to efficiently visualize clusters with related information.

Systematic matrix decomposition and reconstruction of the clustering results from MITree-K will return quantiative visualization of the comprehensive clustering structure as shown below.

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