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Table 1 The features used in different methods

From: Class similarity network for coding and long non-coding RNA classification

Feature \Method

mRNN

LncRNAnet

RNAsamba

LncFinder

CPPred

DeepCPP

Class Similarity Network

Maximum ORF length

  

\(\checkmark\)

 

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

ORF coverage

    

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Nucleotide bias

     

\(\checkmark\)

\(\checkmark\)

k-mer

  

\(\checkmark\)

  

\(\checkmark\)

\(\checkmark\)

k-merscore

   

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

\(\checkmark\)

Fikett score

    

\(\checkmark\)

\(\checkmark\)

 

Sequence encoding

\(\checkmark\) \(^{1}\)

\(\checkmark\) \(^{2}\)

\(\checkmark\) \(^{3}\)

    

Other

   

\(\checkmark\) \(^{4}\)

\(\checkmark\) \(^{5}\)

  
  1. \(^{\textsf {1}}\)Linear embedding, \(^{\textsf {2}}\)One-hot, \(^{\textsf {3}}\)Numeric representations, \(^{\textsf {4}}\)Euclidean-distance, Logarithm-distance, secondary structural related features, and physicochemical related features, and \(^{\textsf {5}}\)composition, transition, distribution, ORF integrity, and Isoelectric point, Grand average of hydropathicity, and estimation of the stability of a predicted peptide