Research articles on automatic pathway construction:
- Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information (2011, citation:8)
- Biological Pathway Extension Using Microarray Gene Expression Data (2008, citation:1)
- Microarray analysis of gene expression: considerations in data mining and statistical treatment (2006, citation: 66)
- Genomic analysis of metabolic pathway gene expression in mice (2005, citation: 67)
- PathMAPA: a tool for displaying gene expression and performing statistical tests on metabolic pathways at multiple levels for Arabidopsis (2003, citation: 54)
- Bayesian Consensus Pathway Construction and Expansion Using Microarray Gene Expression Data (From NCBI)
- Biological Networks (Software from UCSD)
- Reconstructing dynamic gene regulatory networks from sample-based transcriptional data (2012, citation:3)
- Reconstructing regulatory networks from the dynamic plasticity of gene expression by mutual information (2013, citation:0)
- A Gaussian graphical model for identifying significantly responsive regulatory networks from time series gene expression data (2012, citation:1)
- An integrative genomics approach to the reconstruction of gene networks in segregating populations (2004, citation:135)
- Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in mice ()
- Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics' (Nature Genetics, 2005, citation:333)
- Inferring gene transcriptional modulatory relations: a genetical genomics approach (2005, citation:77)
- Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function (Nature Genetics, 2005, citation:515)
- Integrated transcriptional profiling and linkage analysis for identification of genes underlying disease (Nature Genetics, 2005, citation:410)
- An integrative genomics approach to infer causal associations between gene expression and disease (Nature Genetics, 2005, citation:544)
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