Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
2023 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Translational Bioinformatics
ISBN-10
9811982090
ISBN-13
9789811982095
Edition
2023 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 16th, 2023
Print length
167 Pages
Weight
398 grams
Dimensions
24.40 x 16.30 x 1.70 cms
Product Classification:
Medical researchProbability & statisticsProbability and statisticsMolecular biologyData mining
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Chapter 1. Introduction to multi-omics.- Part 1. Omics integration techniques.- Chapter 2. Biomedical applications: the need for multi-omics.- Chapter 3. Omics technologies and big data.- Chapter 4. Multi-omics data mining techniques: algorithms and software.- Part 2. Applications of multi-omics analyses.- Chapter 5. Multi-omics data analysis for cancer research: colorectal cancer, liver cancer and lung cancer.- Chapter 6. Multi-omics data analysis for inflammation disease research: correlation analysis, causal analysis and network analysis.- Chapter 7. Microbiome data analysis and interpretation: correlation inferences and dynamic pattern discovery.- Chapter 8. Current progress of bioinformatics for human health.
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