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Table 3 Signatures detected in top 20 ranked features (Human)

From: Identification of long non-coding transcripts with feature selection: a comparative study

Signatue # Algorithm groups BASIC CONS NUCLEO ORF REPS AUPR (AUC)
1 IG, RFS, TxExLenAvg, ph100m, AA, AAT, AT, KOZAK, DNA.TcMar.Tigger, 0.69 (0.94)
  RF, TxLen, ph20m, ATA, CA, CC, OrfProp LINE.L1,  
  EFmn TxNex ph20mn, CCG, CG,   LTR.ERV1,  
    ph20mx, CGA, CGT,   LTR.ERVL,  
    py100m, FickScore, GC,   LTR.ERVL.MaLR,  
    py100mx, GG, GT, GTG,   SINE.Alu,  
    py20m TA, TAT, TCG,   SINE.MIR  
     TT, TTA    
2 GR TxExLenAvg ph100m, ATC, ATG, CA,   DNA.DNA, 0.55 (0.92)
    ph20m, CAC   DNA.hAT.Blackjack,  
    ph20mx,    DNA.MULE.MuDR,  
    py100m,    DNA.PiggyBac,  
    py100mx,    DNA.TcMar.Tc2,  
    py20m    LINE.Penelope,  
       LTR.LTR,  
       RC.Helitron,  
       SINE.MIR  
3 GFS TxExLenAvg, ph100m, AA, ACC, CA, KOZAK LINE.Penelope 0.67 (0.94)
   TxLen, ph20mx, CAG, CTA,    
   TxNex py100m, FickScore,    
    py20m GAT, GT,    
     TAC, TAT,    
     TGG    
4 LR, EN TxLen, ph100m, AA, AAT, ACA, KOZAK   0.66 (0.94)
   TxNex ph20m, ACT, CA,    
    ph20mx, CAA, CAC,    
    py100m, CG, CGA,    
    py100mx FickScore, GG,    
     GT, GTG,    
     TAC, TCT,    
     TGA, TGG    
5 5 WT TxExLenAvg,   AAC, AAG,    0.66 (0.94)
   TxNex   AC, ACA,    
     ACC, ACG,    
     ACT, AGA,    
     AGC, AGT,    
     ATA, CA, CT,    
     GA, GT, TA,    
     TC, TG