Kurzbeschreibung Overview of cutting-edge approaches to the analysis of microarray data - a technology of major importance throughout the life and medical sciences
Aus dem Inhalt 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 Learning Methods Statistical Methods for Inference of Genetic Networks and Regulatory Modules 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-Based Methods for Analyzing Microarray Data The Most Probable Genetic Interaction Networks Inferred from Gene Expression Patterns