Package: AmyloGram 1.2

AmyloGram: Prediction of Amyloid Proteins

Predicts amyloid proteins using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.

Authors:Michal Burdukiewicz [cre, aut], Piotr Sobczyk [ctb], Jaroslaw Chilimoniuk [ctb], Stefan Roediger [ctb], Dominik Rafacz [ctb]

AmyloGram_1.2.tar.gz
AmyloGram_1.2.zip(r-4.5)AmyloGram_1.2.zip(r-4.4)AmyloGram_1.2.zip(r-4.3)
AmyloGram_1.2.tgz(r-4.4-any)AmyloGram_1.2.tgz(r-4.3-any)
AmyloGram_1.2.tar.gz(r-4.5-noble)AmyloGram_1.2.tar.gz(r-4.4-noble)
AmyloGram_1.2.tgz(r-4.4-emscripten)AmyloGram_1.2.tgz(r-4.3-emscripten)
AmyloGram.pdf |AmyloGram.html✨
AmyloGram/json (API)

# Install 'AmyloGram' in R:
install.packages('AmyloGram', repos = c('https://michbur.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/michbur/amylogram/issues

Datasets:

On CRAN:

3 exports 9 stars 2.58 score 54 dependencies 8 mentions 10 scripts 267 downloads

Last updated 4 years agofrom:a69da65aa7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:AmyloGram_guiis_proteinread_txt

Dependencies:ade4base64encbiogrambslibcachemclicombinatcommonmarkcrayondigestentropyfastmapfontawesomefsgluegmphtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSmathjaxrMatrixmemoisemimenlmepartitionspbapplypixmappolynompromisesR6rangerrappdirsrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangsasssegmentedseqinrsetsshinyslamsourcetoolsspwithrxtable