Predicting RNA secondary structure by a neural network: what features may be learned?
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DOI: 10.7717/peerj.14335
Abstract: Deep learning is a class of machine learning techniques capable of creating internal representation of data without explicit preprogramming. Hence, in addition to practical applications, it is of interest to analyze what features of biological… read more here.
Keywords: neural network; predicting rna; may learned; structure ... See more keywords