Ontology highlight
ABSTRACT:
SUBMITTER: Bindewald E
PROVIDER: S-EPMC1383574 | biostudies-literature | 2006 Mar
REPOSITORIES: biostudies-literature
Bindewald Eckart E Shapiro Bruce A BA
RNA (New York, N.Y.) 20060301 3
We present a machine learning method (a hierarchical network of k-nearest neighbor classifiers) that uses an RNA sequence alignment in order to predict a consensus RNA secondary structure. The input to the network is the mutual information, the fraction of complementary nucleotides, and a novel consensus RNAfold secondary structure prediction of a pair of alignment columns and its nearest neighbors. Given this input, the network computes a prediction as to whether a particular pair of alignment ...[more]