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Methodologies of Multi-Omics Data Integration and Data Mining
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Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications

2023 ed.

Book Details

Format Hardback
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
KSh 28,800.00
Currently unavailable 0 in stock

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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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