Functions for predicting sequences are mRNAs or long non-coding RNAs. Default models are trained on 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. The model can also be built on users' own data.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.2.3), seqinr (≥ 3.1-3), e1071 (≥ 1.6-7), caret (≥ 6.0-71), parallel (≥ 3.1.0) |
| Published: | 2017-02-06 |
| Author: | Han Siyu [aut, cre], Li Ying [aut], Liang Yanchun [aut] |
| Maintainer: | Han Siyu <hansy15 at mails.jlu.edu.cn> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | LncFinder results |
| Reference manual: | LncFinder.pdf |
| Package source: | LncFinder_1.0.0.tar.gz |
| Windows binaries: | r-devel: LncFinder_1.0.0.zip, r-release: LncFinder_1.0.0.zip, r-oldrel: LncFinder_1.0.0.zip |
| OS X El Capitan binaries: | r-release: LncFinder_1.0.0.tgz |
| OS X Mavericks binaries: | r-oldrel: LncFinder_1.0.0.tgz |
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