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: 1.1.3
Depends: R (≥ 2.10)
Imports: seqinr (≥ 2.1-3), e1071 (≥ 1.0), parallel (≥ 2.1.0), caret (≥ 6.0-71)
Published: 2018-08-02
Author: Siyu HAN [aut, cre], Ying LI [aut], Yanchun LIANG [aut]
Maintainer: Siyu HAN <hansy15 at mails.jlu.edu.cn>
License: GPL-3
URL: http://csbl.bmb.uga.edu/mirrors/JLU/lncfinder/, http://bmbl.sdstate.edu/lncfinder/
NeedsCompilation: no
Citation: LncFinder citation info
Materials: README NEWS
CRAN checks: LncFinder results


Reference manual: LncFinder.pdf
Package source: LncFinder_1.1.3.tar.gz
Windows binaries: r-devel: LncFinder_1.1.3.zip, r-release: LncFinder_1.1.3.zip, r-oldrel: LncFinder_1.1.3.zip
OS X binaries: r-release: LncFinder_1.1.3.tgz, r-oldrel: LncFinder_1.1.3.tgz
Old sources: LncFinder archive


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