Molecular pathway analysis using high-throughput OMICS molecular data : analysis of molecular pathway composition, architecture, and activation using high-throughput genomic, epigenetic, transcriptomic, proteomic, and metabolomic data /
The field of molecular pathway analysis evolves rapidly, and many progressive methods have recently been discovered. This book contains the largest collections of molecular pathways. For the first time, guidelines on how to do genomic, epigenetic, transcriptomic, proteomic, and metabolomic data anal...
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| Format: | eBook |
| Language: | English |
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London, U.K. ; San Diego, CA :
Academic Press,
[2025]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Front Cover
- Molecular Pathway Analysis Using High-Throughput OMICS Molecular Data
- Molecular Pathway Analysis Using High-Throughput OMICS Molecular Data
- Copyright
- Dedication
- Contents
- Contributors
- About the editor
- Preface
- I -Foundational information
- 1
- Past, current, and future of molecular pathway analysis
- 1.1 Molecular pathways
- 1.2 Quantitative omics data
- 1.3 Different levels of omics data analysis
- 1.4 Quantization of IMP activities
- 1.4.1 Annotation of functional roles for pathway participants
- 1.5 Applications of IMP analysis
- 1.5.1 Applications in medicine
- 1.6 Software for quantitative assessment of IMP activation
- 1.7 Concluding remarks
- References
- 2
- Molecular data for the pathway analysis
- 2.1 Omics data available for the molecular pathway analysis
- 2.2 Data needed to reconstruct IMPs
- 2.3 Data needed to estimate activation levels of IMPs
- References
- 3
- Benefits and challenges of OMICS data integration at the pathway level
- 3.1 Background
- 3.2 The comparison
- 3.2.1 Functional annotation of gene expression data