Description: Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Depends: R (>= 4.0), shiny, utils, parallel, doParallel, foreach

Description: Example data for 'LipidMS' package.

Description: The Lmoments package contains functions to estimate L-moments and trimmed L-moments from the data.
The package also contains functions to estimate the parameters of the normal polynomial quantile mixture and
the Cauchy polynomial quantile mixture from L-moments and trimmed L-moments.
Packaged: Wed Oct 12 14:52:42 2005; jkau

Packaged: Thu Oct 13 09:24:33 2005; jkau

Packaged: Wed Apr 12 10:54:29 2006; jkau

Packaged: Mon Feb  5 08:58:33 2007; jkau

Description: The Lmoments package contains functions to estimate
L-moments and trimmed L-moments from the data. The package also
contains functions to estimate the parameters of the normal
polynomial quantile mixture and the Cauchy polynomial quantile
mixture from L-moments and trimmed L-moments.

Description: Contains functions to estimate
L-moments and trimmed L-moments from the data. Also

Authors@R: c(person("Juha", "Karvanen", email = "juha.karvanen@iki.fi", role = c("cre", "aut")),
person("Santeri", "Karppinen", email = "santeri.j.karppinen@jyu.fi", role = "aut"))

Title: Long Non-Coding RNA Identification Based on Features of
Acknowledgments: Cheng Ming, Fan Linrui, Guo Yuan, Li Yaolong
Description: 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

Title: LncRNA Identification and Analysis Using Heterologous Features
person(family = "HAN", given = "Siyu", email = "hansy15@mails.jlu.edu.cn", role = c("aut", "cre")),
person(family = "LI", given = "Ying", email = "liying@jlu.edu.cn", role = "aut"),
person(family = "LIANG", given = "Yanchun", role = "aut"))
Acknowledgments: CHENG Ming, FAN Linrui, GUO Yuan, LI Yaolong, SUN
Description: 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>.