Provide data transformation functions to transform counts in RNA-seq data analysis. Please see the reference: Zhang Z, Yu D, Seo M, Hersh CP, Weiss ST, Qiu W. (2019) <doi.org/10.1038/s41598-019-41315-w>.

Locates and Counts Pixels Within Color Range(s) in Images
Counts colors within color range(s) in images, and
provides a masked version of the image with targeted pixels
changed to a different color. Output includes the locations
of the pixels in the images, and the proportion of the image
within the target color range with optional background masking.
Users can specify multiple color ranges for masking.
colordistance, tools, graphics, png, jpeg

c(person("Thang", "Pham", email = "t.pham@amsterdamumc.nl",
role = c("aut", "cre", "cph", "ctb"),
comment = c(ORCID = "0000-0003-0333-2492")))
The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.
Thang Pham [aut, cre, cph, ctb]
(<https://orcid.org/0000-0003-0333-2492>)

A Countdown Timer for HTML Presentations, Documents, and Web
Apps
person("Garrick", "Aden-Buie", , "garrick@adenbuie.com", role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0002-7111-0077"))
A simple countdown timer for slides and HTML documents
written in 'R Markdown' or 'Quarto'. Integrates fully into 'Shiny'
apps. Countdown to something amazing.
htmltools, prismatic (>= 1.1.0), utils, whisker
Garrick Aden-Buie [aut, cre, cph]
(<https://orcid.org/0000-0002-7111-0077>)

Comprehensive Automatized Evaluation of Distribution Models for
Count Data
c(person("Jaroslaw", "Chilimoniuk",
email = "jaroslaw.chilimoniuk@gmail.com",
comment = c(ORCID = "0000-0001-5467-018X"),
role = c("cre", "ctb")),
person("Michal", "Burdukiewicz",
email = "michalburdukiewicz@gmail.com",
comment = c(ORCID = "0000-0001-8926-582X"),
role = c("aut")),
person("Stefan", "Roediger",
email = "stefan.roedigier@b-tu.de",
comment = c(ORCID = "0000-0002-1441-6512"),
role = ("ctb"))
)
A large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data set.
dplyr, utils, testthat, shinythemes, rhandsontable,
gridExtra, pscl, DT, rmarkdown, knitr
Jaroslaw Chilimoniuk [cre, ctb]
(<https://orcid.org/0000-0001-5467-018X>),
Michal Burdukiewicz [aut] (<https://orcid.org/0000-0001-8926-582X>),
Stefan Roediger [ctb] (<https://orcid.org/0000-0002-1441-6512>)