New algorithm rapidly finds anomalies in gene expression data

Computational biologists at Carnegie Mellon University have devised an algorithm to rapidly sort through mountains of gene expression data to find unexpected phenomena that might merit further study. What’s more, the algorithm then re-examines its own output, looking for mistakes it has made and then correcting them.


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Source: Phys.org