AmpGram_predictions

<p>Predictions made with the AmpGram methods.</p>

datasets

Predicts antimicrobial peptides 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. The AmpGram model is too large
for CRAN and it has to be downloaded separately from the repository:
<https://github.com/michbur/AmpGramModel>.

Michal Burdukiewicz

AmpGram

Prediction of Antimicrobial Peptides

Katarzyna Sidorczuk

Filip Pietluch

Dominik Rafacz

Stefan Roediger

Jaroslaw Chilimoniuk

AmpGram_predictions function

<p>A list of length three: random forest for 10-mer analysis, 
random forest for predictions of AMPs, and a vector of important n-grams.</p>

Format

Prediction of antimicrobial peptides — AmpGram_predictions

Prediction of antimicrobial peptides

AmpGram_predictions: Prediction of antimicrobial peptides

Description

Arguments

Format