Clayton Vieira Fraga Filho,
Ana Paula Simiqueli,
Gilson Fernandes da Silva,
Miqueias Fernandes,
Wagner Amorim da Silva Altoe

Clayton Vieira Fraga Filho <forestgrowthsoftware@gmail.com>

data.table, tcltk, utils, stats, graphics, devEMF, png,
grDevices, ReporteRs, methods, ggplot2, gridExtra

data.table, tcltk, utils, stats, graphics, devEMF, png,
grDevices, methods, ggplot2, gridExtra

c(person("Prashant", "Gupta", email = "prashant10991@gmail.com", role = c("aut", "cre")), person("Aashi", "Jindal", email = "jindal.aashi21@gmail.com", role = c("aut")), person("Jayadeva", email = "iitjd4@gmail.com", role = c("aut")) ,person("Debarka", "Sengupta", email = "debarka@gmail.com", role = c("aut")))
The algorithm assigns rareness/ outlierness score to every sample in voluminous datasets.
The algorithm makes multiple estimations of the proximity between a pair of samples, in low-dimensional spaces. To compute proximity, FiRE uses Sketching, a variant of locality sensitive hashing. For more details: Jindal, A., Gupta, P., Jayadeva and Sengupta, D., 2018. Discovery of rare cells from voluminous single cell expression data. Nature Communications, 9(1), p.4719. <doi:10.1038/s41467-018-07234-6>.
While reporting issues on github start subject line with
[cran-package]
Prashant Gupta [aut, cre],
Aashi Jindal [aut],
Jayadeva [aut],
Debarka Sengupta [aut]

c(
person("Fabian","Guignard", role=c("aut"), email="fabian.guignard@bluemail.ch"),
person("Mohamed","Laib", role=c("aut","cre"), email="laib.med@gmail.com"))
Fabian Guignard [aut],
Mohamed Laib [aut, cre]
Proposes non-parametric estimates of the Fisher information measure and the
Shannon entropy power. The state-of-the-art studies related to the Fisher-Shannon
measures, with new analytical formulas for positive unimodal skewed distributions
are presented in Guignard et al. <arXiv:1912.02452>. A 'python' version of this
work is available on 'github' and 'PyPi' ('FiShPy').
The authors are grateful to Mikhail Kanevski, Federico Amato and
Luciano Telesca for many fruitful discussions about the use and
the application of Fisher-Shannon method.