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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.
Today the release of Python 3.3.0 was made official, with a couple new syntax features, a handful of library modules, and several other improvements. According to Python.org’s site, the next ...
The expression data is analyzed using machine learning to develop a gene design algorithm for that host. Genes designed using GeneGPS ® reliably outperform genes designed using alternative methods.