Combined LC-MS/MS feature grouping, statistical prioritization, and interactive networking in msFeaST
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DOI: 10.1093/bioinformatics/btae584
Abstract: Abstract Summary Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping,… read more here.
Keywords: feature set; set testing; prioritization; untargeted metabolomics ... See more keywords
Easy and efficient ensemble gene set testing with EGSEA
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DOI: 10.12688/f1000research.12544.1
Abstract: Gene set enrichment analysis is a popular approach for prioritising the biological processes perturbed in genomic datasets. The Bioconductor project hosts over 80 software packages capable of gene set analysis. Most of these packages search… read more here.
Keywords: gene set; analysis; egsea; expression ... See more keywords