R (>= 2.0), gtools, amap, e1071, ggplot2, cluster, rgl

R (>= 2.10), amap, e1071, scales, cluster, rgl

R (>= 2.12), amap, e1071, scales, cluster, rgl

From Biological Sequences to Multidimensional Scaling
Julien Pele with Jean-Michel Becu, Rym Ben Boubaker, Herve Abdi, and Marie
Chabbert
R (>= 3.6.0), amap, e1071, scales, cluster, rgl
Utilities dedicated to the analysis of
biological sequences by metric MultiDimensional Scaling with
projection of supplementary data. It contains functions for
reading multiple sequence alignment files, calculating distance
matrices, performing metric multidimensional scaling and
visualizing results.

R (>= 2.10), amap, e1071, ggplot2, cluster, rgl

Distributional Data Analysis Techniques for Biosensor Data
c(
person(given ="Juan C.", family ="Vidal", email = "juan.vidal@usc.es", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-8682-6772")),
person(given = "Marcos", family = "Matabuena", role = c("aut"),
comment = c(ORCID = "0000-0003-3841-4447")),
person(given = "Marta", family = "Karas", role = c("ctb"),
comment = c(ORCID = "0000-0001-5889-3970"))
)
Unified and user-friendly framework for using new
distributional representations of biosensors data in different statistical modeling
tasks: regression models, hypothesis testing, cluster analysis, visualization, and
descriptive analysis. Distributional representations are a functional extension of
compositional time-range metrics and we have used them successfully so far in modeling
glucose profiles and accelerometer data. However, these functional representations can
be used to represent any biosensor data such as ECG or medical imaging such as fMRI.
Matabuena M, Petersen A, Vidal JC, Gude F. "Glucodensities: A new representation of
glucose profiles using distributional data analysis" (2021)
<doi:10.1177/0962280221998064>.
Rcpp, graphics, stats, methods, utils, energy, fda.usc,
parallelDist, osqp, truncnorm

A Toolbox for Manipulating Biological Sequences
c(person(given = "Francois",
family = "Keck",
role = c("aut", "cre", "cph"),
email = "francois.keck@gmail.com",
comment = c(ORCID = "0000-0002-3323-4167"))
)
Classes and functions to work with biological sequences (DNA, RNA and amino acid sequences).
Implements S3 infrastructure to work with biological sequences.
Provides a collection of functions to perform biological conversion among classes
(transcription, translation) and basic operations on sequences
(detection, selection and replacement based on positions or patterns).
The package also provides functions to import and export sequences from and to other package formats.
methods, vctrs, tibble, ape, crayon, dplyr, pillar, stringr,
readr, rlang
Francois Keck [aut, cre, cph] (<https://orcid.org/0000-0002-3323-4167>)