An end-to-end proteomics workflow with condition-aware
imputation, flexible statistical modelling and interactive
visualization
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Documentation for package ‘ProteinBatcher’ version 0.99.7
Help Pages
| filter_se_missing | Filter proteins by missingness within conditions (SummarizedExperiment) |
| impute_se | Impute missing proteomics intensities within conditions (SummarizedExperiment) |
| plot_deregulogram | Deregulogram plot for interaction models (2-level factors) |
| plot_volcano_customized | Volcano plot for differential abundance results |
| run_proteomics_pipeline | Run a the downstream proteomics pipeline (filter, impute, limma, reporting) |
| test_limma_customized | Differential abundance testing with limma (imputation-aware FDR) |