R (>= 3.4.0), AlgDesign, scales, scatterplot3d, emoa,
grDevices

Combining Predictive Analytics and Experimental Design to Optimize Results. To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.
R (>= 2.10), AlgDesign, scales, scatterplot3d, emoa, grDevices

Short Tandem Repeats Analysis of Hotspot Zones
c(person("Philipp", "Hermann", role = c("aut", "cre"), email = "philipp.hermann@jku.at", comment = c(ORCID = "https://orcid.org/0000-0003-4556-6297")),
person("Monika", "Heinzl", role = "aut",   email = "monika.heinzl@edumail.at"),
person("Angelika", "Heissl", role = "ctb"),
person("Irene", "Tiemann-Boege", role = "ctb", comment = c(ORCID = "https://orcid.org/0000-0002-3621-7020")),
person("Andreas", "Futschik", role = "ctb", comment = c(ORCID = "https://orcid.org/0000-0002-7980-0304")))
Philipp Hermann [aut, cre] (<https://orcid.org/0000-0003-4556-6297>),
Monika Heinzl [aut],
Angelika Heissl [ctb],
Irene Tiemann-Boege [ctb] (<https://orcid.org/0000-0002-3621-7020>),
Andreas Futschik [ctb] (<https://orcid.org/0000-0002-7980-0304>)
Searches for short tandem repeats (STR) in a specified region of any genome. This analysis can be expanded such that several regions (chromosomes) are studied. These STRs can be grouped into hotspot as well as flanking regions of user specified width. Hotspots are defined by the double strand break maps from Pratto et al. (2014) <doi:10.1126/science.1256442>. Moreover, the user can also search for a specified motif in a DNAStringSet-object, or a fasta-file, or a specified region of any genome. For an application of STR detections please see Heissl et al. (2018) <doi:10.1101/431841>.
Biostrings (>= 2.38.4), BSgenome, BSgenome.Hsapiens.UCSC.hg19,
BiocManager, methods