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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Researchers suggest that genetic variations could influence the side effects people experience when using synthetic cannabinoids, the International Business Times reports.

An analysis has examined the makeup of researchers on Twitter and what they share, Nature News reports.

At Stat News, Jim Kozubek argues that the Broad Institute is pushing the boundary of what a nonprofit is.

In PNAS this week: gut microbes may affect honeybee weight, phenotype and gene expression changes in DiGeorge syndrome, and more.