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Oznake: computer science;bioinformatics;mathematics;statistics
Understanding and identifying biological complex systems at work in the cell requires to develop models able to capture the stochastic nature of biological processes as well as their dynamics. Focusing on gene regulatory networks, we propose a new quantitative model in the form of a dynamical Bayesi ...
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;bioinformatics
Abstract. Identifying biological networks requires to develop models able to capture their dynamics and statistical learning methods to estimate their parameters from time-series measurements. In particular, Ordinary Differential Equations (ODE's) are a rich family of quantitative models, but their ...
Leto: 2007 Vir: videolectures.net
Št. zadetkov: 2
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