• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications

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

Hardcover

Series: Translational Bioinformatics, Book 19

Medical ReferenceAnatomy & PhysiologyProbability & Statistics

ISBN10: 9811982090
ISBN13: 9789811982095
Publisher: Springer
Published: Jan 16 2023
Pages: 167
Weight: 0.95
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
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.

1 different editions

Also available

Also in

Medical Reference