Automated filtering (>50% missing values), normalization (median/total intensity), and BPCA imputation. Visualize with barplots, boxplots, density plots, and PCA.
Parallelized ComBat for multi-instrument, multi-gradient data. Iterative refinement with editable annotations. Corrects longitudinal drifts and cross-lab variations.
Identify DEPs with volcano plots, heatmaps, and PCA. Supports ANOVA, t-tests, and clustering for top DEPs.
Integrated ORA/GSEA (Reactome, WikiPathways) and STRING PPI networks. Visualize enriched pathways and functional modules.
Search specific proteins with heatmaps and stats. Scalable for large datasets from public repositories like PRIDE.
Evaluated 12 methods; BPCA excels for DDA/DIA and multi-instrument data.
Corrected QC samples across multiple instruments over time – zero DEPs post-correction.
Merged DDA/DIA/TMT with high accuracy; outperformed HarmonizR in DEP detection.
Integrated kidney cancer datasets; revealed metabolic shifts like OXPHOS downregulation.
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