A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data

By M. Zou, S. Conzen. Bioinform., 2005

633 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5d2c0f82795d9d492bdf7343e1abe7de3b9445c0

How researchers see this paper

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In Molecular Biology

1. Hua Liang
2. Florian Markowetz
3. Tao Lu
4. Hulin Wu
5. Rainer Spang
6. Hongqi Xue

Citations in the corpus

• Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling (2014, background): “…2000; Shmulevich et al. 2002; Martin et al. 2007), dynamic Bayesian networks (Murphy and Mian 1999; Friedman et al. 2000; Hartemink et al. 2001; Zou and Conzen 2005; Song, Kolar, and Xing 2009), vector autoregressive and state space models (SSMs; Hirose et al. 2008; Kojima et al. 2009;…”
• Inferring cellular networks – a review (2007, background): “DBNs have found many applications in network reconstruction [54-56].”
• A Review of Deep Learning Models for Time Series Prediction (2019, background): “There already exist numerous studies on using BNs for time series prediction [145]–[148].”