Datta, Susmita

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

Datta, Susmita - Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, ebook


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ISBN: 9783319458090
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Table of contents

1. Transformation, Normalization, and Batch Effect in the Analysis of Mass Spectrometry Data for Omics Studies
Bart J. A. Mertens

2. Automated Alignment of Mass Spectrometry Data Using Functional Geometry
Anuj Srivastava

3. The Analysis of Peptide-Centric Mass-Spectrometry Data Utilizing Information About the Expected Isotope Distribution
Tomasz Burzykowski, Jürgen Claesen, Dirk Valkenborg

4. Probabilistic and Likelihood-Based Methods for Protein Identification from MS/MS Data
Ryan Gill, Susmita Datta

5. An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Proteomic Data Processing
Lu Xiong, Don Hong

6. Mass Spectrometry Analysis Using MALDIquant
Sebastian Gibb, Korbinian Strimmer

7. Model-Based Analysis of Quantitative Proteomics Data with Data Independent Acquisition Mass Spectrometry
Gengbo Chen, Guo Shou Teo, Guo Ci Teo, Hyungwon Choi

8. The Analysis of Human Serum Albumin Proteoforms Using Compositional Framework
Shripad Sinari, Dobrin Nedelkov, Peter Reaven, Dean Billheimer

9. Variability Assessment of Label-Free LC-MS Experiments for Difference Detection
Yi Zhao, Tsung-Heng Tsai, Cristina Di Poto, Lewis K. Pannell, Mahlet G. Tadesse, Habtom W. Ressom

10. Statistical Approach for Biomarker Discovery Using Label-Free LC-MS Data: An Overview
Caroline Truntzer, Patrick Ducoroy

11. Bayesian Posterior Integration for Classification of Mass Spectrometry Data
Bobbie-Jo M. Webb-Robertson, Thomas O. Metz, Katrina M. Waters, Qibin Zhang, Marian Rewers

12. Logistic Regression Modeling on Mass Spectrometry Data in Proteomics Case-Control Discriminant Studies
Bart J. A. Mertens

13. Robust and Confident Predictor Selection in Metabolomics
J. A. Hageman, B. Engel, Ric C. H. Vos, Roland Mumm, Robert D. Hall, H. Jwanro, D. Crouzillat, J. C. Spadone, F. A. Eeuwijk

14. On the Combination of Omics Data for Prediction of Binary Outcomes
Mar Rodríguez-Girondo, Alexia Kakourou, Perttu Salo, Markus Perola, Wilma E. Mesker, Rob A. E. M. Tollenaar, Jeanine Houwing-Duistermaat, Bart J. A. Mertens

15. Statistical Analysis of Lipidomics Data in a Case-Control Study
Bart J. A. Mertens, Susmita Datta, Thomas Hankemeier, Marian Beekman, Hae-Won Uh

Keywords: Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Metabolomics, Computational Biology/Bioinformatics, Analytical Chemistry, Probability and Statistics in Computer Science

Publication year
Frontiers in Probability and the Statistical Sciences
Page amount
8 pages
Natural Sciences
Printed ISBN

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