Robust Hierarchical Co-Clustering to Identify Significant
Co-Cluster
c(person("Md. Bahadur",
"Badsha",
role = c("aut", "cre"),
email = "mbbadshar@gmail.com"),
person("Mohammad Nazmol",
"Hasan",
role = "aut"),
person("Md. Nurul Haque",
"Mollah",
role = "aut"))
Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in
absence and presence of outlying observations. It can be used to explore important co-clusters consisting of
important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020)
<doi:10.1101/2020.05.13.094946>.
fields, grDevices, graphics, igraph, stats, tcR
Md. Bahadur Badsha [aut, cre],
Mohammad Nazmol Hasan [aut],
Md. Nurul Haque Mollah [aut]

fields, grDevices, graphics, igraph, stats

A Zero Dependency 'SVG' Icon Library for 'Shiny'
c(
person(
given = "David",
family = "Ruvolo",
role = c("aut", "cre"),
email = "dcruvolo@gmail.com",
comment = c(ORCID = "0000-0002-5745-5298")),
person(
given = "Adam",
family = "Wathan",
role = c("ctb", "cph"),
comment = "Author of heroicons library"),
person(
given = "Steve",
family = "Schoger",
role = c("ctb", "cph"),
comment = "Author of heroicons library")
)
An implementation of the 'Heroicons' icon library for 'shiny'
applications and other 'R' web-based projects. You can search, render,
and customize icons without 'CSS' or 'JavaScript' dependencies.
htmltools (>= 0.5.0), shiny (>= 1.5.0), stringr
David Ruvolo [aut, cre] (<https://orcid.org/0000-0002-5745-5298>),
Adam Wathan [ctb, cph] (Author of heroicons library),
Steve Schoger [ctb, cph] (Author of heroicons library)

htmltools (>= 0.5.2), shiny (>= 1.5.0), stringr

htmltools (>= 0.5.3), shiny (>= 1.5.0), stringr

Clustering Genetic Sequence Data Using the HierBAPS Algorithm
person("Gerry", "Tonkin-Hill", email = "g.tonkinhill@gmail.com", role = c("cre", "aut"))
Implements the hierarchical Bayesian analysis of populations structure (hierBAPS)
algorithm of Cheng et al. (2013) <doi:10.1093/molbev/mst028> for clustering DNA sequences
from multiple sequence alignments in FASTA format.
The implementation includes improved defaults and plotting capabilities
and unlike the original 'MATLAB' version removes singleton SNPs by default.
ape, dplyr, purrr, utils, ggplot2, LambertW
knitr, rmarkdown, ggtree, phytools, testthat