A multi-array post-processing method of allele-specific copy-number estimates (ASCNs)
c(
person("Maria", "Ortiz", role=c("aut", "ctb")),
person("Ander", "Aramburu", role=c("ctb")),
person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email="henrikb@braju.com"),
person("Pierre", "Neuvial", role=c("aut", "ctb")),
person("Angel", "Rubio", role=c("aut", "ctb")))
Maria Ortiz, Ander Aramburu, Henrik Bengtsson, Pierre Neuvial, Angel Rubio

Maria Ortiz [aut, ctb],
Ander Aramburu [ctb],
Henrik Bengtsson [aut, cre, cph],
Pierre Neuvial [aut, ctb],
Angel Rubio [aut, ctb]

Improved Allele-Specific Copy Number of SNP Microarrays for
Downstream Segmentation
A multi-array post-processing method of allele-specific copy-number estimates (ASCNs).

The CalMaTe method calibrates preprocessed allele-specific copy number estimates (ASCNs) from DNA microarrays by controlling for single-nucleotide polymorphism-specific allelic crosstalk. The resulting ASCNs are on average more accurate, which increases the power of segmentation methods for detecting changes between copy number states in tumor studies including copy neutral loss of heterozygosity. CalMaTe applies to any ASCNs regardless of preprocessing method and microarray technology, e.g. Affymetrix and Illumina.

Post-calibration of allele-specific copy-number estimates
(ASCNs)
Post-calibration of allele-specific copy-number estimates
(ASCNs).

Implements methods for querying data from CalPASS using its API.
CalPASS Plus.  MMAP API V1. <https://mmap.calpassplus.org/docs/index.html>.

c(
person(
given = "Ellis",
family = "Hughes",
email = "ellishughes@live.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0637-4436")
),
person(
given = "Cédric",
family = "Scherer",
email = "cedricphilippscherer@gmail.com",
role = c("ctb")
),
person(
given = "Georgios",
family = "Karamanis",
email = "georgios@karaman.is",
role = c("ctb")
)
)
Record and generate a 'gif' of your 'R' sessions plots. When creating
a visualization, there is inevitably iteration and refinement that occurs.
Automatically save the plots made to a specified directory, previewing them
as they would be saved. Then combine all plots generated into a 'gif'
to show the plot refinement over time.
ggplot2, gifski, tools, magick, rsvg, jsonlite, rlang,
grDevices, svglite
knitr, rmarkdown, markdown, ragg, grid, covr, testthat (>=
3.0.0), patchwork, withr, dplyr, systemfonts, scales, extrafont
Ellis Hughes [aut, cre] (<https://orcid.org/0000-0003-0637-4436>),
Cédric Scherer [ctb],
Georgios Karamanis [ctb]