Estimation of Directed Acyclic Graphs Through Two-Stage Adaptive Lasso for Gene Network Inference
用于基因网络推断的两阶段自适应 Lasso 有向无环图估计
Graphical models are a popular approach to find dependence and conditional independence relationships between gene expressions. Directed acyclic graphs (DAGs) are a special class of directed graphical models, where all the edges are directed edges and contain no directed cycles. The DAGs are well known models for discovering causal relationships between genes in gene regulatory networks. However, estimating DAGs without assuming known ordering is challenging due to high…