https://tan-jiahua.r-universe.devRecent package updates in tan-jiahuaR-universehttps://github.com/tan-jiahua.pnghttps://tan-jiahua.r-universe.devTue, 28 Apr 2026 13:05:17 GMTjiahuatan@chem.ubc.ca (Jiahua Tan)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.https://github.com/r-universe/bioc/actions/runs/36234710556Tue, 28 Apr 2026 13:05:17 GMTAWAggregator1.3.0successhttps://bioc.r-universe.devhttps://github.com/bioc/AWAggregatorAWAggregator-vignette.RmdAWAggregator-vignette.htmlAWAggregator Vignette2025-05-01 05:23:422025-08-11 09:15:54jiahuatan@chem.ubc.ca (Jiahua Tan)The AWAggregatorData package contains the data associated with the AWAggregator R package. It includes two pre-trained random forest models, one incorporating the average coefficient of variation as a feature, and the other one not including it. It also contains the PSMs in Benchmark Set 1~3 derived from the psm.tsv output files generated by FragPipe, which are used to train the random forest models.https://github.com/r-universe/bioc/actions/runs/39245765838Tue, 28 Apr 2026 12:37:58 GMTAWAggregatorData1.3.0successhttps://bioc.r-universe.devhttps://github.com/bioc/AWAggregatorDataAWAggregatorData-vignette.RmdAWAggregatorData-vignette.htmlAWAggregatorData Vignette2025-04-03 00:35:372025-08-11 08:59:52