LncFinder: LncRNA Identification and Analysis Using Heterologous Features

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>.

Version: 1.1.5
Depends: R (≥ 2.10)
Imports: seqinr (≥ 2.1-3), e1071 (≥ 1.0), parallel (≥ 2.1.0), caret (≥ 6.0-71)
Published: 2021-12-09
DOI: 10.32614/CRAN.package.LncFinder
Author: Siyu HAN [aut, cre], Ying LI [aut], Yanchun LIANG [aut]
Maintainer: Siyu HAN <hansy15 at mails.jlu.edu.cn>
License: GPL-3
URL: https://bmbl.bmi.osumc.edu/lncfinder/
NeedsCompilation: no
Citation: LncFinder citation info
Materials: README NEWS
CRAN checks: LncFinder results


Reference manual: LncFinder.pdf


Package source: LncFinder_1.1.5.tar.gz
Windows binaries: r-devel: LncFinder_1.1.5.zip, r-release: LncFinder_1.1.5.zip, r-oldrel: LncFinder_1.1.5.zip
macOS binaries: r-release (arm64): LncFinder_1.1.5.tgz, r-oldrel (arm64): LncFinder_1.1.5.tgz, r-release (x86_64): LncFinder_1.1.5.tgz, r-oldrel (x86_64): LncFinder_1.1.5.tgz
Old sources: LncFinder archive


Please use the canonical form https://CRAN.R-project.org/package=LncFinder to link to this page.