| CancerGram_predictions {CancerGram} | R Documentation |
Prediction of anticancer peptides
Description
Predictions made with the CancerGram methods.
Format
A list of predictions for exemplary sequences.
#' Predictions for each protein are stored in objects of class
single_cancergram_pred. It consists of three elements:
- seq
Character vector of amino acid sequence of an analyzed peptide/protein
- all_mers_pred
Matrix of predictions for each 5-mer (subsequence of 5 amino acids) of a sequence. Each row corresponds to one mer and columns to predicted classes (ACP, AMP or negative). Prediction value indicates probability that a 5-mer possesses anticancer activity (acp), antimicrobial activity (amp) or none of them (neg).
- single_prot_pred
One row matrix of a single prediction value for a whole peptide/protein. Its value corresponds to the probability that a peptide/protein exhibits anticancer activity, antimicrobial activity or none of them.