Genetic network inference: from co-expression clustering to reverse engineering

motivation: Advances in molecular biological, analytical and computational technologies are enabling us to systematically investigate the complex molecular processes underlying biological systems. In particular, using high-throughput gene expression assays, we are able to measure the output of the g...

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Veröffentlicht in:	Bioinformatics 2000-08, Vol.16 (8), p.707-726
Hauptverfasser:	D’haeseleer, Patrik, Liang, Shoudan, Somogyi, Roland
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Biological and medical sciences Cluster Analysis Computer Simulation Computing Methodologies Databases, Factual Fundamental and applied biological sciences. Psychology Gene Expression Regulation General aspects Genomics Information Storage and Retrieval Linear Models Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Neural Networks (Computer) Nonlinear Dynamics
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