LncRNA Identification and Analysis Using Heterologous Features R package LncFinder version 1.1.6 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 S., et al. (2019) <doi:10.1093/bib/bby065>. Software Depends: R (>= 2.10) Imports: seqinr (>= 2.1-3), e1071 (>= 1.0), parallel (>= 2.1.0), caret (>= 6.0-71), Siyu Han <siyu.han@tum.de> Comprehensive R Archive Network (CRAN) Siyu Han [aut, cre], Ying Li [aut], Yanchun Liang [aut] GPL-3 2024-09-28 application/tgz https://CRAN.R-project.org/package=LncFinder doi:10.32614/CRAN.package.LncFinder