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  "Title": "Multi-Dataset Model-based Differential Expression Proteomics\nAnalysis Platform",
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  "Description": "ProteoMM is a statistical method to perform model-based\npeptide-level differential expression analysis of single or\nmultiple datasets. For multiple datasets ProteoMM produces a\nsingle fold change and p-value for each protein across multiple\ndatasets. ProteoMM provides functionality for normalization,\nmissing value imputation and differential expression.\nModel-based peptide-level imputation and differential\nexpression analysis component of package follows the analysis\ndescribed in “A statistical framework for protein quantitation\nin bottom-up MS based proteomics\" (Karpievitch et al.\nBioinformatics 2009). EigenMS normalisation is implemented as\ndescribed in \"Normalization of peak intensities in bottom-up\nMS-based proteomics using singular value decomposition.\"\n(Karpievitch et al. Bioinformatics 2009).",
  "Author": "Yuliya V Karpievitch, Tim Stuart and Sufyaan Mohamed",
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