Analysis and Visualization of Droplet Digital PCR in R and on
the Web
c(
person("Dean", "Attali", email = "daattali@gmail.com", role = c("aut", "cre"))
)
An interface to explore, analyze, and visualize droplet digital PCR
(ddPCR) data in R. This is the first non-proprietary software for
analyzing duplex ddPCR data. An interactive tool was also created and is available
online to facilitate this analysis for anyone who is not comfortable with
using R.
ggExtra (>= 0.3.0), graphics, grid (>= 3.2.2), gridExtra (>=
2.0.0), knitr (>= 1.7), rmarkdown, stats, testthat (>= 0.9.1),
utils

An interface to explore, analyze, and visualize droplet digital PCR
(ddPCR) data in R. This is the first non-proprietary software for analyzing
two-channel ddPCR data. An interactive tool was also created and is available
online to facilitate this analysis for anyone who is not comfortable with
using R.

ggExtra (>= 0.3.0), graphics, grid (>= 3.2.2), gridExtra (>=
2.0.0), knitr (>= 1.7), rmarkdown, stats, testthat (>= 0.11.0),
utils

Multi-Data-Driven Sparse PLS Robust to Missing Samples
Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with
high-dimensional settings are particularly sensible to this.
person("Hadrien","Lorenzo", role = c("aut", "cre"),
email = "hadrien.lorenzo.2015@gmail.com")

c(person("Hadrien","Lorenzo", role = c("aut", "cre"),
email = "hadrien.lorenzo.2015@gmail.com"),
person("Jerome","Saracco", role = c("aut"),
email = "jerome.saracco@math.u-bordeaux1.fr"),
person("Rodolphe","Thiebaut", role = c("aut"),
email = "rodolphe.thiebaut@u-bordeaux.fr"))
Hadrien Lorenzo [aut, cre],
Jerome Saracco [aut],
Rodolphe Thiebaut [aut]

Data-Driven Sparse PLS Robust to Missing Samples for Mono and
Multi-Block Data Sets

Data-Driven Sparse Partial Least Squares Robust to Missing
Samples for Mono and Multi-Block Data Sets
Allows to build Multi-Data-Driven Sparse Partial Least Squares models. Multi-blocks with
high-dimensional settings are particularly sensible to this. It comes with visualization
functions and uses 'Rcpp' functions for fast computations and 'doParallel' to parallelize cross-validation.
This is based on H Lorenzo, J Saracco, R Thiebaut (2019) <arXiv:1901.04380>.
Many applications have been successfully realized.
See <https://hadrienlorenzo.netlify.com/> for more information, documentation and examples.
c(person("Hadrien","Lorenzo", role = c("aut", "cre"),
email = "hadrien.lorenzo.2015@gmail.com"),
person("Misbah","Razzaq", role = "ctb",
email = "misbah.razzaq@u-bordeaux.fr"),
person("Jerome","Saracco", role = c("aut"),
email = "jerome.saracco@math.u-bordeaux1.fr"),
person("Rodolphe","Thiebaut", role = c("aut"),
email = "rodolphe.thiebaut@u-bordeaux.fr"))
Hadrien Lorenzo [aut, cre],
Misbah Razzaq [ctb],
Jerome Saracco [aut],
Rodolphe Thiebaut [aut]