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Weighted Network Analysis Applications in Genomics and Systems Biology /
This book presents state-of-the-art methods, software and applications surrounding weighted networks. Most methods and results also apply to unweighted networks. Although aspects of weighted network analysis relate to standard data mining methods, the intuitive network language and analysis framewor...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2011.
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| Edición: | 1st ed. 2011. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Preface
- Networks and fundamental concepts
- Approximately factorizable networks
- Different type of network concepts
- Adjacency functions and their topological effects
- Correlation and gene co-expression networks
- Geometric interpretation of correlation networks using the singular value decomposition
- Constructing networks from matrices
- Clustering Procedures and module detection
- Evaluating whether a module is preserved in another network
- Association and statistical significance measures
- Structural equation models and directed networks
- Integrated weighted correlation network analysis of mouse liver gene expression data
- Networks based on regression models and prediction methods
- Networks between categorical or discretized numeric variables
- Networks based on the joint probability distribution of random variables
- Index.