Biological interaction networks based on sparse temporal expansion of graphical models

Biological networks are often described as probabilistic graphs in the context of gene and protein sequence analysis in molecular biology. Microarrays and proteomics technology allow the monitoring of expression levels over thousands of biological units over time. In experimental efforts we are inte...

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Bibliographische Detailangaben

Hauptverfasser:	Kalantzaki, K. D., Bei, E. S., Garofalakis, M., Zervakis, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Arabidopsis thaliana Bioinformatics Correlation Estimation Gaussian Graphical Model Graphical models Kernel Kernel Estimation Network construction Proteins Sparse Temporal Expansion
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