Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies.- Automated Alignment of Mass Spectrometry Data Using Functional Geometry.- The analysis of peptide-centric mass spectrometry data utilizing information about the expected isotope distribution.- Probabilistic and likelihood-based methods for protein identification from MS/MS data.- An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Data Processing.- Mass Spectrometry Analysis Using MALDIquant.- Model-based analysis of quantitative proteomics data with data independent acquisition mass spectrometry.- The analysis of human serum albumin proteoforms using compositional framework.- Variability Assessment of Label-Free LC-MS Experiments for Difference Detection.- Statistical approach for biomarker discovery using label-free LC-MS data - an overview.- Bayesian posterior integration for classification ofmass spectrometry data.- Logistic regression modeling on mass spectrometry data in proteomics case-control discriminant studies.- Robust and confident predictor selection in metabolomics.- On the combination of omics data for prediction of binary Outcomes.- Statistical analysis of lipidomics data in a case-control study.

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• Química analítica
• Probabilidade e Estatística
• Biologia, ciências da vida
• Ciência da Computação
• Matemática para cientistas da computação

Bayesian;analysis;analytical chemistry;biochemistry;bioinformatics;biomarker;biostatistics;computer science;disease;gene expression;glycomics;lipidomics;mass spectrometry;metabolite;metabolomics;omics;protein;proteomics;statistical;statistics