Pulls together a collection of datasets from Miguel de Carvalho research articles. Including, for example:
- de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>;
- de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>;
- de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>);
- de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>;
- de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>.

Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI
R (>= 2.11.0), xtable, akima, R.oo, R.methodsS3, matlab,
lattice, locfit, graphics, grDevices, grid
This package performs voxel-wise deconvolution analysis of
DCE-MRI contrast agent concentration versus time data and
generates the Impulse Response Function, which can be used to
approximate commonly utilized kinetic parameters such as
K^trans and ve.  An interactive advanced voxel diagnosis tool
(AVDT) is also provided to facilitate easy navigation of
voxel-wise data.

This package performs voxel-wise deconvolution analysis of
DCE-MRI contrast agent concentration versus time data and
generates the Impulse Response Function, which can be used to
approximate commonly utilized kinetic parameters such as Ktrans
and ve.  An interactive advanced voxel diagnosis tool (AVDT) is
also provided to facilitate easy navigation of voxel-wise data.

Differential Analysis with Random Reference Genes
c(
person(given = "Dorota",
family = "Desaulle",
role = c("aut", "cre"),
email = "dorota.desaulle@u-paris.fr",
comment = c(ORCID = "0000-0002-3419-9447")),
person(given = "Yves",
family = "Rozenholc",
role = c("aut"),
email = "yves.rozenholc@u-paris.fr",
comment = c(ORCID = "0000-0002-3907-5101")) )
Differential Analysis of short RNA transcripts that can be modeled by either Poisson or Negative binomial distribution.  The statistical methodology implemented in this package is based on the random selection of references genes (Desaulle et al. (2021) <arXiv:2103.09872>).
Dorota Desaulle [aut, cre] (<https://orcid.org/0000-0002-3419-9447>),
Yves Rozenholc [aut] (<https://orcid.org/0000-0002-3907-5101>)