demo_SS.seq

This file contains 10 SS (Secondary Structure) sequences.

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>.

Siyu Han

LncFinder

LncRNA Identification and Analysis Using Heterologous Features

Ying Li

Yanchun Liang

demo_SS.seq function

A data frame with 3 rows and 10 variables:<dl>
The first row is RNA sequence; the second row is Dot-Bracket Notation of
secondary structure sequences; the last row is minimum free energy (MFE).</dl>

Format

A demo of secondary structure sequences — demo_SS.seq

A data frame with 3 rows and 10 variables:<dl>
The first row is RNA sequence; the second row is Dot-Bracket Notation of
secondary structure sequences; the last row is minimum free energy (MFE).

</dl>

demo_SS.seq: A demo of secondary structure sequences

Description

Usage

Arguments

Format