Genetic Networks and Anticipation of Gene Expression Patterns

摘要: An interesting problem for computational biology is the analysis of time‐series expression data. Here, application modern methods from dynamical systems, optimization theory, numerical algorithms and utilization implicit discrete information lead to a deeper understanding. In [1], we suggested represent behavior gene patterns by system ordinary differential equations, which analytically algorithmically investigated under parametrical aspect stability or instability. Our algorithm strongly exploited combinatorial information. this paper, deepen, extend exemplify study viewpoint underlying mathematical modelling. This modelling consists in evaluating DNA‐microarray measurements as basis anticipatory prediction, choice smooth model given an approach right‐hand side with parametric matrices, approximation least squares pr...