c(person("Minoo", "Ashtiani", role = c("aut", "cre"), email = "ashtiani.minoo@gmail.com"),
person("Mehdi", "Mirzaie", role = "ctb"),
person("Mohieddin", "Jafari", role = "ctb"))

Functions for computing, comparing and demonstrating top informative centrality measures within a network <doi:10.1093/bioinformatics/bty819>.

Co-Information based N-Order Epistasis Detector and Visualizer
A package for detecting and visualizing high-order epistatic interactions

Detecting and visualizing nonlinear interaction effects of single nucleotide polymorphisms or epistatic interactions, especially high-order epistatic interactions, are important topics in bioinformatics because of their significant mathematical and computational challenges. We present CINOEDV (Co-Information based N-Order Epistasis Detector and Visualizer) for detecting, visualizing, and analyzing high-order epistatic interactions by introducing virtual vertices into the construction of a hypergraph. CINOEDV was developed as an alternative to existing software to build a global picture of epistatic interactions and unexpected high-order epistatic interactions, which might provide useful clues for understanding the underlying genetic architecture of complex diseases.

Vishal H. Oza, Roshan Darji, Brittany N. Lasseigne
Implement various chromosomal instability metrics. 'CINmetrics' (Chromosomal INstability metrics) provides functions to
calculate various chromosomal instability metrics on masked Copy Number Variation(CNV) data at individual sample level. The
chromosomal instability metrics have been implemented as described in the following studies:
Baumbusch LO et al. 2013 <doi:10.1371/journal.pone.0054356>,
Davidson JM et al. 2014 <doi:10.1371/journal.pone.0079079>,
Chin SF et al. 2007 <doi:10.1186/gb-2007-8-10-r215>.

Computationally-Efficient Confidence Intervals for Mean Shift
from Permutation Methods
c(
person("Emily", "Tupaj", role = "aut"),
person("Jerzy", "Wieczorek", email = "jawieczo@colby.edu", role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-2859-6534")),
person("Minh", "Nguyen", role = "ctb"),
person("Mara", "Tableman", role = "ctb"))
Implements computationally-efficient construction of
confidence intervals from permutation or randomization tests
for simple differences in means,
based on Nguyen (2009) <https://archives.pdx.edu/ds/psu/37406>.
Emily Tupaj [aut],
Jerzy Wieczorek [cre, aut] (<https://orcid.org/0000-0002-2859-6534>),
Minh Nguyen [ctb],
Mara Tableman [ctb]