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The application of nuclear magnetic resonance (NMR) metabolomics in cancer research requires an understanding of the many possibilities that NMR metabolomics can offer, as well as… Read more
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List of figures
List of tables
Abbreviations
About the author
Chapter 1: Introduction
Abstract:
1.1 Possibilities of NMR metabolomics in cancer research
Chapter 2: Biology – cancer metabolic phenotype
Abstract:
2.1 Cancer metabolic phenotype
2.2 Drugs aimed at cancer metabolic phenotype
Chapter 3: Experimental methodology
Abstract:
3.1 Fundamentals of NMR spectroscopy
3.2 1D NMR in mixture analysis
3.3 Multidimensional NMR in metabolomics
3.4 Arrayed NMR experiments
3.5 Isotope labeling for NMR analysis
3.6 Diagnostic magnetic resonance tools based on cancer metabolic phenotype and cancer-induced metabolic changes
Chapter 4: Metabolomics NMR data preprocessing – analysis of individual spectrum
Abstract:
4.1 NMR spectrum preprocessing
4.2 Qualitative metabolomics
4.3 STOCSY
4.4 Quantitative metabolomics
4.5 Novel metabolite structure analysis
Chapter 5: Metabolomics data analysis – processing and analysis of a dataset
Abstract:
5.1 Normalization and scaling
5.2 Biases and confounders in metabolomics
5.3 Data analysis
5.4 Data integration – polyomics analysis
Chapter 6: Dynamic metabolic profiling and metabolite network and pathways modeling
Abstract:
6.1 Dynamic metabolic data analysis
6.2 Computational models of metabolic networks
Chapter 7: Biomarker discovery
Abstract:
7.1 Feature (biomarkers) selection
7.2 Validation of results in supervised analysis
Chapter 8: NMR metabolomics application by cancer type
Abstract:
8.1 Breast cancer
8.2 Brain cancers
8.3 Lung cancer metabolomics analysis and results
8.4 Metabolomics analysis of biofluids in cancer research
Chapter 9: Perspectives
Index
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