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portada Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
167
Format
Hardcover
Dimensions
23.4x15.6x1.1 cm
Weight
0.43 kg.
ISBN13
9789811982095
Categories

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

Ning, Kang (Author) · Springer · Hardcover

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

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

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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