AWAggregator

Attribute-Weighted Aggregation

Bioconductor version: 3.23 · Package version: 1.2.0

This package implements an attribute-weighted aggregation algorithm which leverages peptide-spectrum match (PSM) attributes to provide a more accurate estimate of protein abundance compared to conventional aggregation methods. This algorithm employs pre-trained random forest models to predict the quantitative inaccuracy of PSMs based on their attributes. PSMs are then aggregated to the protein level using a weighted average, taking the predicted inaccuracy into account. Additionally, the package allows users to construct their own training sets that are more relevant to their specific experimental conditions if desired.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("AWAggregator")