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Estimation of sparse directed acyclic graphs for multivariate counts data

Han, Sung Won ; Zhong, Hua

Biometrics, 2016-09, Vol.72 (3), p.791-803 [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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Título:
Estimation of sparse directed acyclic graphs for multivariate counts data
Autor: Han, Sung Won ; Zhong, Hua
Assuntos: Algorithms ; Bayesian network ; BIOMETRIC METHODOLOGY ; Computer Simulation ; Count data ; Directed acyclic graph ; Economic models ; Female ; Gene Regulatory Networks ; Genetic transformation ; Graph theory ; Graphs ; High-Throughput Nucleotide Sequencing ; Humans ; Lasso estimation ; Likelihood Functions ; Models, Statistical ; Multivariate analysis ; Next-generation sequencing ; Normal distribution ; Ovarian cancer ; Ovarian Neoplasms - genetics ; Penalized likelihood estimation ; Poisson Distribution ; Search algorithms ; Unknown variable ordering
É parte de: Biometrics, 2016-09, Vol.72 (3), p.791-803
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Descrição: The next-generation sequencing data, called high-throughput sequencing data, are recorded as count data, which are generally far from normal distribution. Under the assumption that the count data follow the Poisson log-normal distribution, this article provides an L₁-penalized likelihood framework and an efficient search algorithm to estimate the structure of sparse directed acyclic graphs (DAGs) for multivariate counts data. In searching for the solution, we use iterative optimization procedures to estimate the adjacency matrix and the variance matrix of the latent variables. The simulation result shows that our proposed method outperforms the approach which assumes multivariate normal distributions, and the log-transformat ion approach. It also shows that the proposed method outperforms the rank-based PC method under sparse network or hub network structures. As a real data example, we demonstrate the efficiency of the proposed method in estimating the gene regulatory networks of the ovarian cancer study.
Editor: United States: Blackwell Publishing Ltd
Idioma: Inglês;Francês

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Estimation of sparse directed acyclic graphs for multivariate counts data

Han, Sung Won ; Zhong, Hua

United States: Blackwell Publishing Ltd

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