A set of handy functions. Includes: versatile one line progress bar, one
line function timer with detailed output, time delay function, text histogram, object
preview, CRAN package search, simpler package installer, Linux command install check,
a flexible Mode function, top function, simulation of correlated data, and more

Miscellaneous Functions for Creating Adaptive Functions and
Scripts
A set of handy functions. Includes a versatile one line progress bar, one
line function timer with detailed output, time delay function, text histogram, object
preview, CRAN package search, simpler package installer, Linux command install check,
a flexible Mode function, top function, simulation of correlated data, and more.

R (>= 3.3), grDevices, graphics, stats, utils

R (>= 3.10), grDevices, graphics, stats, utils

Clustering of Omics Data of Multiple Types with a Multilayer
Network Representation
Sebastian J. Teran Hidalgo, Shuangge Ma, Ruofan Bie
Sebastian J. Teran Hidalgo <sebastianteranhidalgo@gmail.com>
Omics data come in different forms: gene expression, methylation, copy number, protein measurements and more.
'NCutYX' allows clustering of variables, of samples, and both variables and samples (biclustering),
while incorporating the dependencies across multiple types of Omics data.
(SJ Teran Hidalgo et al (2017), <doi:10.1186/s12864-017-3990-1>).

Interactive Presentation for Working with Normal Distribution
An interactive presentation on  the topic of normal distribution using 'rmarkdown' and 'shiny' packages. It is helpful to those who want to learn normal distribution quickly and get a hands on experience. The presentation has a template for solving problems on normal distribution. Runtime examples are provided in the package function as well as at  <https://kartikeyastat.shinyapps.io/NormalDistribution/>.

c(person(given = "Andrey", family = "Alexeyenko", role = c("aut", "cph","ths"), email = "andrej.alekseenko@scilifelab.se"), person(given = "Ashwini", family = "Jeggari", role = c("aut","cre"),email="ashwinipriya.jeggari@ki.se"))
Performs network enrichment analysis against functional gene sets.
Benchmarks networks. Renders raw gene profile matrices of dimensionality "Ngenes
x Nsamples" into the space of gene set (typically pathway) enrichment scores of
dimensionality "Npathways x Nsamples".
Andrey Alexeyenko [aut, cph, ths],
Ashwini Jeggari [aut, cre]