Plant microRNA prediction by supervised machine learning using C5.0 decision trees
MicroRNAs (miRNAs) are nonprotein coding RNAs between 20 and 22 nucleotides long that attenuate protein production. Different types of sequence data are being investigated for novel miRNAs, including genomic and transcriptomic sequences. A variety of machine learning methods have successfully predicted miRNA precursors, mature miRNAs, and other nonprotein coding sequences. MirTools, mirDeep2, and miRanalyzer require read count to be included with the input sequences, which restricts their use...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Nucleic Acids|
|Access Rights:||Open Access|
|01_Williams_Plant_microRNA_prediction_by_2012.pdf||636.67 kB||Adobe PDF|
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