منابع مشابه
S18-02 Inferring molecular networks
The ability to maintain a proportionate body plan in individuals of different sizes is essential for proper development. Despite wide interest, little is known about the mechanisms underlying scaling with size. I will discuss our efforts to reveal the molecular basis for scaling in different systems. A general ‘‘Expansion– Repression’’ feedback topology will be presented, which ensures scaling ...
متن کاملInferring Biological Networks
1. Abstract 2. Introduction 3. Computational Approaches for Identifying Gene Modules 3.1. Advanced Statistical Approaches 3.2. Matrix Decomposition Approaches 4. Computational Approaches for Inferring Gene Connectivity 4.1. ODE-based Models 4.2. Bayesian Networks 4.3. Coexpression Networks 4.4. Probabilistic Boolean Networks 4.5. Inference from Multiple Sources of Data 5. Network Analysis in Si...
متن کاملInferring regulatory networks.
The discovery of regulatory networks is an important aspect in the post genomic research. The process requires integrated efforts of experimental and computational strategies by employing the systems biology approach. This review summarizes some of the major themes in computational inference of regulatory networks based on gene expression and other data sources, including transcriptional module...
متن کاملInferring Multiple Regulation Networks
Gaussian Graphical Models provide a convenient framework for representing dependencies between variables. Recently, this tool has received a high interest for the discovery of biological networks. The literature focuses on the case where a single network is inferred from a set of measurements, but, as data is typically scarce, several assays, where the experimental conditions affect interaction...
متن کاملInferring gene regulation networks
A current challenge in system biology is to infer the regulation network of a family of p genes from a n-sample of microarrays, with n (much) smaller than p. Gaussian graphical models are simple models to describe these regulation networks. We propose a procedure that performs Gaussian graph estimation by model selection. We introduce a collection of candidate graphs and then select one of them...
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ژورنال
عنوان ژورنال: Mechanisms of Development
سال: 2009
ISSN: 0925-4773
DOI: 10.1016/j.mod.2009.06.991