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 S., et al. (2019) <doi:10.1093/bib/bby065>.

Version: 1.1.6
Depends: R (≥ 2.10)
Imports: seqinr (≥ 2.1-3), e1071 (≥ 1.0), parallel (≥ 2.1.0), caret (≥ 6.0-71)
Published: 2024-09-28
DOI: 10.32614/CRAN.package.LncFinder
Author: Siyu Han [aut, cre], Ying Li [aut], Yanchun Liang [aut]
Maintainer: Siyu Han <siyu.han at tum.de>
License: GPL-3
URL: https://lncfinder.osubmi.org/
NeedsCompilation: no
Citation: LncFinder citation info
Materials: README NEWS
CRAN checks: LncFinder results

Documentation:

Reference manual: LncFinder.pdf

Downloads:

Package source: LncFinder_1.1.6.tar.gz
Windows binaries: r-devel: LncFinder_1.1.6.zip, r-release: LncFinder_1.1.6.zip, r-oldrel: LncFinder_1.1.6.zip
macOS binaries: r-release (arm64): LncFinder_1.1.6.tgz, r-oldrel (arm64): LncFinder_1.1.6.tgz, r-release (x86_64): LncFinder_1.1.6.tgz, r-oldrel (x86_64): LncFinder_1.1.6.tgz
Old sources: LncFinder archive

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