Statistical tool set for population genetics. The package provides empirical Bayes estimator of Fst and other measures of genetic differentiation. It also provides interfaces to read and manipulate 'GENEPOP' format data files and allele/haplotype frequency format files.

Statistical tool set for population genetics. The package provides following functions: 1) empirical Bayes estimator of Fst and other measures of genetic differentiation, 2) regression analysis of environmental effects on genetic differentiation using bootstrap method, 3) interfaces to read and manipulate 'GENEPOP' format data files and allele/haplotype frequency format files.

Fine-Scale Population Analysis (Rewrite for
Gene-Trait-Environment Interaction Analysis)
Reiichiro Nakamichi, Shuichi Kitada, Hirohisa Kishino
Statistical tool set for population genetics. The package provides following functions: 1) estimators of genetic differentiation (FST), 2) regression analysis of environmental effects on genetic differentiation using generalized least squares (GLS) method, 3) interfaces to read and manipulate 'GENEPOP' format data files). For more information, see Kitada, Nakamichi and Kishino (2020) <doi:10.1101/2020.01.30.927186>.

Iterative FISH-based Calibration of Hi-C Data
Yoli Shavit, Fiona Kathryn Hamey and Pietro Lio'
FisHiCal integrates Hi-C and FISH data, offering a modular and easy-to-use tool for chromosomal spatial analysis.

Fuzzy Inference System Design and Optimization
c(
person("Serge", "Guillaume", email = "serge.guillaume@irstea.fr", role = "aut"),
person("Brigitte", "Charnomordic", email = "brigitte.charnomordic@inra.fr", role = "aut"),
person("Jean-Luc", "Lablée", email = "jean-luc.lablee@irstea.fr", role = c("aut", "cre")),
person("Hazaël", "Jones", email = "hazael.jones@supagro.fr", role = "ctb"),
person("Lydie", "Desperben", role = "ctb"),
person("IRSTEA", role = "cph", comment = "Institut national de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture, France"),
person("INRA", role = "cph", comment = "Institut National de la Recherche Agronomique, France"))
Serge Guillaume [aut],
Brigitte Charnomordic [aut],
Jean-Luc Lablée [aut, cre],
Hazaël Jones [ctb],
Lydie Desperben [ctb],
IRSTEA [cph] (Institut national de Recherche en Sciences et
Technologies pour l'Environnement et l'Agriculture, France),
INRA [cph] (Institut National de la Recherche Agronomique, France)
Fuzzy inference systems are based on fuzzy rules, which have a good capability for managing progressive phenomenons.
This package is a basic implementation of the main functions to use a Fuzzy Inference System (FIS) provided by the open source software 'FisPro' <https://www.fispro.org>.
'FisPro' allows to create fuzzy inference systems and to use them for reasoning purposes, especially for simulating a physical or biological system.