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

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

Table of Contents

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    Book Overview
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    Chapter 1 Transformation, Normalization, and Batch Effect in the Analysis of Mass Spectrometry Data for Omics Studies
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    Chapter 2 Automated Alignment of Mass Spectrometry Data Using Functional Geometry
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    Chapter 3 The Analysis of Peptide-Centric Mass-Spectrometry Data Utilizing Information About the Expected Isotope Distribution
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    Chapter 4 Probabilistic and Likelihood-Based Methods for Protein Identification from MS/MS Data
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    Chapter 5 An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Proteomic Data Processing
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    Chapter 6 Mass Spectrometry Analysis Using MALDIquant
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    Chapter 7 Model-Based Analysis of Quantitative Proteomics Data with Data Independent Acquisition Mass Spectrometry
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    Chapter 8 The Analysis of Human Serum Albumin Proteoforms Using Compositional Framework
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    Chapter 9 Variability Assessment of Label-Free LC-MS Experiments for Difference Detection
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    Chapter 10 Statistical Approach for Biomarker Discovery Using Label-Free LC-MS Data: An Overview
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    Chapter 11 Bayesian Posterior Integration for Classification of Mass Spectrometry Data
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    Chapter 12 Logistic Regression Modeling on Mass Spectrometry Data in Proteomics Case-Control Discriminant Studies
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    Chapter 13 Robust and Confident Predictor Selection in Metabolomics
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    Chapter 14 On the Combination of Omics Data for Prediction of Binary Outcomes
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    Chapter 15 Statistical Analysis of Lipidomics Data in a Case-Control Study
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Mentioned by

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15 X users
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1 Wikipedia page

Citations

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136 Mendeley
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Title
Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-45809-0
ISBNs
978-3-31-945807-6, 978-3-31-945809-0
Editors

Susmita Datta, Bart J. A. Mertens

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
United States 1 <1%
Denmark 1 <1%
Unknown 133 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Student > Ph. D. Student 26 19%
Researcher 23 17%
Student > Bachelor 17 13%
Student > Doctoral Student 12 9%
Other 13 10%
Unknown 18 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 27%
Chemistry 30 22%
Agricultural and Biological Sciences 20 15%
Mathematics 8 6%
Medicine and Dentistry 6 4%
Other 15 11%
Unknown 20 15%

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