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Support vector machines (SVMs) are becoming popular in a wide variety of biological applications. But, what exactly are SVMs and how do they work? And what are their most promising applications in the life sciences?
A large-scale chemical genetic approach for systematically linking gene expression profiles with compounds and phenotypes offers promise for both basic and applied biomedical research.