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- W830337701 abstract "We present a computational learning method for bio-molecular classification. This method shows how to design biochemical operations both for learning and pattern classification. As opposed to prior work, our molecular algorithm learns generic classes considering the realization in vitro via a sequence of molecular biological operations on sets of DNA examples. Specifically, hybridization between DNA molecules is interpreted as computing the inner product between embedded vectors in a corresponding vector space, and our algorithm performs learning of a binary classifier in this vector space. We analyze the thermodynamic behavior of these learning algorithms, and show simulations on artificial and real datasets as well as demonstrate preliminary wet experimental results using gel electrophoresis." @default.
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- W830337701 date "2015-11-01" @default.
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- W830337701 title "Molecular learning with DNA kernel machines" @default.
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- W830337701 doi "https://doi.org/10.1016/j.biosystems.2015.06.007" @default.
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