LncRNA Identification and Analysis Using Heterologous Features
c(
    person(family = "HAN", given = "Siyu", email = "hansy15@mails.jlu.edu.cn", role = c("aut", "cre")),
    person(family = "LI", given = "Ying", email = "liying@jlu.edu.cn", role = "aut"),
    person(family = "LIANG", given = "Yanchun", role = "aut"))
CHENG Ming, FAN Linrui, GUO Yuan, LI Yaolong, SUN
Ying, WANG Ruoyu
Long non-coding RNAs identification and analysis. Default models are trained with human, mouse and wheat datasets by employing SVM. Features are based on intrinsic composition of sequence, EIIP value (electron-ion interaction pseudopotential), and secondary structure. This package can also extract other classic features and build new classifiers. Reference: Han SY., Liang YC., Li Y., et al. (2018) <doi:10.1093/bib/bby065>.
Siyu HAN [aut, cre],
  Ying LI [aut],
  Yanchun LIANG [aut]