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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.6 |
rolling linux/jammy R-4.5 | LncFinder_1.1.6.tar.gz |
2.8 MiB |
1.1.6 |
rolling linux/noble R-4.5 | LncFinder_1.1.6.tar.gz |
2.8 MiB |
1.1.6 |
rolling source/ R- | LncFinder_1.1.6.tar.gz |
2.1 MiB |
1.1.6 |
latest linux/jammy R-4.5 | LncFinder_1.1.6.tar.gz |
2.8 MiB |
1.1.6 |
latest linux/noble R-4.5 | LncFinder_1.1.6.tar.gz |
2.8 MiB |
1.1.6 |
latest source/ R- | LncFinder_1.1.6.tar.gz |
2.1 MiB |
1.1.6 |
2026-04-26 source/ R- | LncFinder_1.1.6.tar.gz |
2.1 MiB |
1.1.6 |
2026-04-23 source/ R- | LncFinder_1.1.6.tar.gz |
2.1 MiB |
1.1.6 |
2026-04-09 windows/windows R-4.5 | LncFinder_1.1.6.zip |
2.8 MiB |
1.1.6 |
2025-04-20 source/ R- | LncFinder_1.1.6.tar.gz |
2.1 MiB |