Time Series Modeling for Climate Change Proxies
Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate analysis, applied to isotope data extracted from clams.

Classes and Methods for "Class Comparison" Problems on
Microarrays
Defines the classes used for "class comparison" problems
in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class
comparison includes tests for differential expression; see Simon's
book for details on typical problem types.
methods, graphics, stats, splines, Biobase

Classes and Methods for "Class Discovery" with Microarrays or
Proteomics
methods, stats, graphics, grDevices, mclust, oompaData,
Biobase
Defines the classes used for "class discovery" problems
in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class
discovery primarily consists of unsupervised clustering methods with
attempts to assess their statistical significance.

Florencia I. Pozzi, Gisela Y. Green, Ivana G. Barbona, Gustavo R. Rodriguez, Silvina A. Felitti
Cleans biological sequences massively, quickly, without errors and
without internet connection.  Biological sequences cleaning is performed by
aligning the forward and / or revers primers or ends of cloning vectors with the sequences
to be cleaned. After the alignment, new subsequences are generated without biological fragment
not desired by the user.
Pozzi et al (2016, ISSN:2314-1484).

Curates biological sequences massively, quickly, without errors and
without internet connection.  Biological sequences curing is performed by
aligning the forward and / or revers primers or ends of cloning vectors with the sequences
to be cleaned. After the alignment, new subsequences are generated without biological fragment
not desired by the user.
Pozzi et al (2020) <doi:10.1007/s00438-020-01671-z>.

Model-Based Clustering of Categorical Sequences
c(person("Volodymyr", "Melnykov", role = c("aut", "cre"), email =
"vmelnykov@cba.ua.edu"))
ClickClust allows clustering categorical sequences by means of finite mixtures with Markov model components. ClickClust also allows detecting blocks of equivalent states by forward and backward state selection procedures.