Review Article
A Review on Recent Computational Methods for Predicting Noncoding RNAs
Table 2
De novo ncRNA function prediction methods using RNA sequence features.
| Name | URL | Feature | Prediction algorithm |
| RNAcon [27] | http://crdd.osdd.net/raghava/rnacon/ | 3-mer of nucleotides | SVM with parameters and kernels optimized by model training |
| CNCI [28] | https://github.com/www-bioinfo-org/CNCI | Frequency of adjoining nucleotide triplets (6-mer), the length and -score of most-like CDS, length-percentage, score-distance, and codon-bias | SVM using the standard radial basis function kernel |
| PLEK [29] | https://sourceforge.net/projects/plek/ | Normalized frequencies of 1–5 mers of RNA sequences | SVM |
| CONC [30] | | Peptide length, amino acid composition, nucleotide frequencies, predicted secondary structure content, predicted percentage of exposed residues, compositional entropy, number of homologs from database searches, and alignment entropy | SVM |
| CPC [31] | http://cpc.cbi.pku.edu.cn/ | The longest reading frame in the three forward frames, log-odds score, coverage of the predicted ORF, and integrity of the predicted ORF | SVM |
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