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 | TxNex | phm, phmn, | ACA, ACG, | KOZAK | 0.47 (0.92) | |
phmx, | CCG, CG, | ||||||
py60m, | CGA, CGC, | ||||||
py60mx | CGG, CGT, | ||||||
FickScore, GC, | |||||||
GCG, TAA, | |||||||
TCG | |||||||
2 | GR | phm, phmn, | ACA, AGA, | DNA.hAT.Charlie, | 0.40 (0.91) | ||
phmx, | AT, CA, CAA, | LINE.RTE.BovB, | |||||
py60m, | CAT, CG, TGA | LINE.RTE.X, | |||||
py60mx | LTR.ERVL.MaLR, | ||||||
SINE.ID, | |||||||
SINE.MIR, | |||||||
SINE.tRNA | |||||||
3 | RFS | TxExLenAvg, | phm, phmn, | AA, FickScore | KOZAK, | LINE.L1, | 0.44 (0.92) |
TxLen, | phmx, | OrfProp | LTR.ERV1, | ||||
TxNex | py60m, | LTR.ERVK, | |||||
py60mx | LTR.ERVL, | ||||||
LTR.ERVL.MaLR, | |||||||
SINE.Alu, | |||||||
SINE.B2, SINE.B4 | |||||||
4 | GFS, LR, | TxExLenAvg, | phm, phmn, | AAC, AAG, | KOZAK | 0.51 (0.93) | |
EN | TxLen, | phmx, | AC, ACA, ACT, | ||||
TxNex | py60m, | AGT, CAC, | |||||
py60mx | CAG, CAT, | ||||||
CGT, CTT, | |||||||
FickScore, | |||||||
GAT, GT, | |||||||
GTA, GTC, | |||||||
GTG, TAA, | |||||||
TAC, TAT | |||||||
5 | RF, | TxExLenAvg, | phm, phmn, | AA, AC, | KOZAK | 0.51 (0.93) | |
EFmn | TxLen, | phmx, | ACA, AGA, | ||||
TxNex | py60m, | CAC, CAT, | |||||
py60mx | CCG, CG, | ||||||
CGC, CGG, | |||||||
FickScore, GC, | |||||||
GGC, GT, | |||||||
TAA, TAT, TT | |||||||
6 | WT | TxExLenAvg, | AAC, AAG, | 0.46 (0.92) | |||
TxNex | AAT, AC, | ||||||
ACA, ACC, | |||||||
ACG, ACT, | |||||||
AGA, AGC, | |||||||
AT, CA, CG, | |||||||
CT, GT, TA, | |||||||
TC, TG |