This paper considers the Weighted Gene Regulatory Network (WGRN) problem, which consists in identifying a reduced set of interesting candidate regulatory ...
This paper considers the Weighted Gene Regulatory Network (WGRN) problem, which consists in identifying a reduced set of interesting candidate regulatory ...
This paper considers the Weighted Gene Regulatory Network (WGRN) problem, which consists in identifying a reduced set of interesting candidate regulatory ...
An integer optimization approach for reverse engineering of gene regulatory networks · R. Cordone, G. Lulli · Published in Discrete Applied Mathematics 1 March ...
Reverse engineering gene networks and identifying regulatory interactions are integral to understanding cellular decision making processes.
In this paper, we propose a mixed–integer optimization algorithm that combines prior biological information and expression data to identify multiple regulatory ...
Reverse engineering gene regulatory network from microarray data using linear time-variant model · A model-based optimization framework for the inference on gene ...
We have developed a novel integer programming-based approach to reconstruct the underlying regulatory architecture of differentiating embryonic stem cells.
Dec 3, 2014 · We propose an iterative approach that couples parameter identification and parameter optimization techniques, to address the two tasks ...
Sep 2, 2012 · Our integer programming algorithm effectively utilizes bootstrapping to identify robust gene regulatory networks from noisy, non-linear ...
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