mnmer: '(m,n)-mer' - A Simple Statistical Feature for Sequence Classification

The (m,n)-mer is a statistical feature calculated from conditional frequency distributions obtained from a FASTA file. The resulting table, along with class information, is used to create the classification feature matrix. For more information on this method and its benchmarking results, refer to Andrade et al.'s upcoming publication titled "(m,n)-mer - A Simple Statistical Feature for Sequence Classification".

Version: 0.99.1
Depends: R (≥ 4.1.0), utils, Biostrings
LinkingTo: cpp11
Suggests: BiocStyle, covr, knitr, rmarkdown, testthat (≥ 3.0.0), caret, MLeval, randomForest
Published: 2023-05-12
Author: Amanda Andrade ORCID iD [cre, aut], Marco Grivet ORCID iD [aut], Otavio Brustolini ORCID iD [aut], Ana Vasconcelos ORCID iD [aut, ths]
Maintainer: Amanda Andrade <aandradebio at>
License: Artistic-2.0
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: mnmer results


Reference manual: mnmer.pdf
Vignettes: (m,n)-mer - A Simple Statistical Feature for Sequence Classification


Package source: mnmer_0.99.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mnmer_0.99.1.tgz, r-oldrel (arm64): mnmer_0.99.1.tgz, r-release (x86_64): mnmer_0.99.1.tgz


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