Buch, Englisch, 217 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 518 g
Comparative Network Analysis and Network Module Detection
Buch, Englisch, 217 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 518 g
ISBN: 978-3-030-57172-6
Verlag: Springer International Publishing
Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
- Naturwissenschaften Biowissenschaften Biowissenschaften Systembiologie
Weitere Infos & Material
Chapter 1: Global Alignment of PPI Networks.- Chapter 2: Integrated Network-Based Computational Analysis for Drug Development.- Chapter 3: Effective Random Walk Models for Comparative Network Analysis.- Chapter 4: Computational Methods for Protein-Protein Interaction Network Alignment.- Chapter 5: Network Propagation for the Analysis of Multi_Omics Data.- Chapter 6: Motifs in Biological Networks.- Chapter 7: Bio Fabric Visualization of Network Alignments.- Chapter 8: Module Identification of Biological Networks via Graph Partition.- Chapter 9: Network Module Detection to Decipher the Heterogeneity of Cancer Mutations.