PSEA-Quant statistically assesses the enrichment of proteins with high abundance and well reproduced abundance measurements across a set of replicates in protein sets from GO and …

2014年12月5日 · To this end, we developed PSEA-Quant, a protein set enrichment analysis algorithm for label-free and label-based protein quantification data sets. It offers an alternative …

2016年3月24日 · PSEA-Quant analyzes quantitative mass spectrometry-based proteomics datasets to identify enrichments of annotations contained in repositories such as the Gene …

2016年3月24日 · PSEA-Quant analyzes quantitative mass spectrometry–based proteomics datasets to identify enrichments of annotations contained in repositories such as the Gene …

2023年4月4日 · We propose a statistical approach to computationally identify protein sets (e.g., Gene Ontology (GO) terms) that are significantly enriched with abundant proteins with …

PSEA-Quant uses a permutation scheme, which models both protein abundance dependencies and annotation biases. We show that PSEA-Quant works with both label-free and label-based …

To this end, we developed PSEA-Quant, a protein set enrichment analysis algorithm for label-free and label-based protein quantification data sets. It offers an alternative approach to classic GO …

2014年9月1日 · We propose a statistical approach to computationally identify protein sets (e.g. Gene Ontology (GO) terms) that are significantly enriched with abundant proteins with …

PSEA-Quant uses a permutation scheme, which models both protein abundance dependencies and annotation biases. We show that PSEA-Quant works with both label-free and label-based …

2020年10月14日 · Mathieu Lavallée-Adam和他的团队为我们开发了一种内部工具——PSEA-Quant，专门用于蛋白质集富集分析，是专为基因集富集分析而开发的，但已针对无标记和基 …