Weizmann Researchers Develop Clustering Algorithm for Gene Expression Analysis | GenomeWeb

Researchers at the Weizmann Institute of Science of Rehovot, Israel, have developed a new two-way clustering algorithm to analyze gene expression data. They hope to establish a company based on the technology, although initial attempts to interest venture capitalists have not been successful.

The algorithm uses a coupled two-way clustering method, which splits a dataset into two subsets, where one can be used to cluster the other. The researchers’ results were published in the October 24 issue of the Proceedings of the National Academy of Sciences.

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