pmartR: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
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Publisher
The R Foundation
Reference8 articles.
1. Degnan D, Stratton K, Richardson R, Claborne D, Martin E, Johnson N, Leach D, Webb-Robertson B, Bramer L (2023). "pmartR 2.0: A Quality Control, Visualization, and Statistics Pipeline for Multiple Omics Datatypes." _Journal of Proteome Research_, *22*(2), 570-576. .
2. Stratton K, Webb-Robertson B, McCue L, Stanfill B, Claborne D, Gomez I, Johansen T, Thompson A, Burnum-Johnson K, Waters K, Bramer L (2019). "pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data." _Journal of Proteome Research_, *18*(3), 1418-1425. .
3. Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements
4. A statistical selection strategy for normalization procedures in LC-MS proteomics experiments through dataset-dependent ranking of normalization scaling factors
5. Improved quality control processing of peptide-centric LC-MS proteomics data
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