Published in Stat Appl Genet Mol Biol on February 04, 2009
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How to infer gene networks from expression profiles, revisited. Interface Focus (2011) 1.35
Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data. Bioinformatics (2010) 1.35
Statistical inference of the time-varying structure of gene-regulation networks. BMC Syst Biol (2010) 1.22
Bayesian inference of signaling network topology in a cancer cell line. Bioinformatics (2012) 1.17
SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis. PLoS Comput Biol (2015) 1.14
Genome-wide analysis of a Wnt1-regulated transcriptional network implicates neurodegenerative pathways. Sci Signal (2011) 1.03
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Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression Data. Curr Genomics (2015) 0.93
Combining tree-based and dynamical systems for the inference of gene regulatory networks. Bioinformatics (2015) 0.91
Reverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk. Front Plant Sci (2012) 0.89
Inference of temporally varying Bayesian networks. Bioinformatics (2012) 0.85
Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data. Front Genet (2013) 0.84
Improved inference of gene regulatory networks through integrated Bayesian clustering and dynamic modeling of time-course expression data. PLoS One (2013) 0.83
Systems biology data analysis methodology in pharmacogenomics. Pharmacogenomics (2011) 0.80
Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics (2012) 0.79
Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization. PLoS One (2014) 0.79
Correcting for link loss in causal network inference caused by regulator interference. Bioinformatics (2014) 0.77
Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data. BMC Bioinformatics (2014) 0.77
Reconstruction and analysis of nutrient-induced phosphorylation networks in Arabidopsis thaliana. Front Plant Sci (2013) 0.76
BGRMI: A method for inferring gene regulatory networks from time-course gene expression data and its application in breast cancer research. Sci Rep (2016) 0.75
Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks. BMC Syst Biol (2015) 0.75