A simple GUI to use the main features of the QFeatures package.
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Updated
Sep 14, 2026 - R
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qfeatures
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Introduction to QFeatures, Bioconductor data object for proteomics
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Updated
Oct 21, 2022 - Python
Label-free DDA proteomics differential abundance analysis, benchmarked against a spike-in study with known ground truth and applied to an arginine transporter knockout in Francisella tularensis.
bioinformatics r computational-biology bioconductor proteomics dda mass-spectrometry maxquant false-discovery-rate label-free-quantification mixed-models robust-regression qfeatures lfq differential-abundance bacterial-pathogenesis msqrob2 spike-in-benchmark pseudo-replication francisella-tularensis
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Sep 18, 2026 - R
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