E-Book, Englisch, 295 Seiten, eBook
Reihe: Frontiers in Probability and the Statistical Sciences
E-Book, Englisch, 295 Seiten, eBook
Reihe: Frontiers in Probability and the Statistical Sciences
ISBN: 978-3-319-45809-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.