Clean and Visualize Over Expression Results from
'ConsensusPathDB'
c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"))
Provides functions to have visualization and clean-up of enriched gene ontologies (GO) terms,
protein complexes and pathways (obtained from multiple databases) using 'ConsensusPathDB'
from gene set over-expression analysis. Performs clustering of pathway based on similarity
of over-expressed gene sets and visualizations similar to Ingenuity Pathway Analysis (IPA)
when up and down regulated genes are known. The methods are described in a paper currently
submitted by Orecchioni et al, 2020 in Nanoscale.
ggplot2, igraph, devtools, ggrepel, grDevices, R (>= 3.6)

c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "raghvendra5688@gmail.com"))

c(
person("Christian", "Capezza",
email = "christian.capezza@unina.it",
role = c("cre","aut")),
person("Fabio", "Centofanti", role = c("aut")),
person("Antonio", "Lepore", role = c("aut")),
person("Alessandra", "Menafoglio", role = c("aut")),
person("Biagio", "Palumbo", role = c("aut")),
person("Simone", "Vantini", role = c("aut"))
)
Provides functional control charts
for statistical process monitoring of functional data,
using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507> and
Centofanti et al. (2020) <doi:10.1080/00401706.2020.1753581>.
Christian Capezza [cre, aut],
Fabio Centofanti [aut],
Antonio Lepore [aut],
Alessandra Menafoglio [aut],
Biagio Palumbo [aut],
Simone Vantini [aut]

rlang, parallel, tidyr, patchwork, RSpectra

rlang, parallel, tidyr, patchwork, RSpectra, matrixStats

Convenience Functions by Michael Chirico
A set of functions, some subset of which I use in every .R file I write. Examples are table2(), which adds useful functionalities to base table (sorting, built-in proportion argument, etc.); lyx.xtable(), which converts xtable() output to a format more easily copy-pasted into LyX; pdf2(), which writes a plot to file while also displaying it in the RStudio plot window; and abbr_to_colClass(), which is a much more concise way of feeding many types to a colClass argument in a data reader.