On the identification of sparse gene regulatory networks
On the identification of sparse gene regulatory networks
复制标题
稀疏基因调控网络的识别
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
R. Westra
中科院分区：
文献类型：
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作者：
R. Peeters;R. Westra
引入了一个线性动态模型结构来描述稀疏基因调控网络中的基因相互作用，它推广了[9]中的设置。引入了基于L1最小化的稳健统计技术，从从微阵列数据获得的有限数量的观测中估计潜在的稀疏网络。通过仿真实验分析了该算法的性能，展示了该方法的潜力。
A linear dynamical model structure is introduced to describe the gene interactions in a sparse gene regulatory network, which generalizes the set-up in [9]. Techniques from robust statistics based on L1-minimization are introduced to estimate the underlying sparse network from a limited number of observations obtainable from micro-array data. Simulation experiments are carried out to analyze the performance of the algorithm and to demonstrate the potential of the proposed approach.