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AmyloGram  

Prediction of Amyloid Proteins
View on CRAN: Click here


Download and install AmyloGram package within the R console
Install from CRAN:
install.packages("AmyloGram")

Install from Github:
library("remotes")
install_github("cran/AmyloGram")

Install by package version:
library("remotes")
install_version("AmyloGram", "1.1")



Attach the package and use:
library("AmyloGram")
Maintained by
Michal Burdukiewicz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-24
Latest Update: 2017-10-11
Description:
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.
How to cite:
Michal Burdukiewicz (2016). AmyloGram: Prediction of Amyloid Proteins. R package version 1.1, https://cran.r-project.org/web/packages/AmyloGram. Accessed 12 Oct. 2026.
Previous versions and publish date:
1.0 (2016-09-24 13:40), (2026-07-09 07:57)
Other packages that cited AmyloGram R package
View AmyloGram citation profile
Other R packages that AmyloGram depends, imports, suggests or enhances
Complete documentation for AmyloGram
Functions, R codes and Examples using the AmyloGram R package
Some associated functions: AmyloGram-package . AmyloGram_gui . AmyloGram_model . is_protein . pep424 . predict.ag_model . print.ag_model . read_txt . spec_sens . 
Some associated R codes: AmyloGram-package.R . AmyloGram_gui.R . datasets.R . is_protein.R . predict.R . print.R . read_txt.R . utils.R .  Full AmyloGram package functions and examples
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