Analysis of microarray data: a network-Based approach

This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. INDICE: Introduction to DNA Microarrays. Comparative Analysis of Clustering Methods for Microarray Data. Finding Verified Edges in Genetic/Gene Networks: Bilayer Verification for Network Recovery in the Presence. Computational Inference of Biological Causal Networks -. Analysis of Therapeutic Compound Effects. Reverse Engineering Gene Regulatory Networks with Various Machine LearningMethods. Statistical Methods for Inference of Genetic Networks and RegulatoryModules. A Model of Genetic Networks with Delayed Stochastic Dynamics. Probabilistic Boolean Networks as Models for Gene Regulation. Structural Equation for Identification of Genetic Networks. Detecting Pathological Pathways of a Complex Disease by a Comparative Analysis of Networks. Predicting Functional Modules Using Microarray and Protein Interaction Data. Computational Reconstruction of Transcriptional Regulatory Modules of the Yeast Cell Cycle. Pathway-BasedMethods for Analyzing Microarray Data. The Most Probable Genetic Interaction Networks Inferred from Gene Expression Patterns.

• ISBN: 978-3-527-31822-3
• Editorial: Verlag Chemie
• Encuadernacion: Cartoné
• Páginas: 416
• Fecha Publicación: 01/02/2008
• Nº Volúmenes: 1
• Idioma: Inglés