title: A systems biology approach for identifying novel pathway regulators in eQTL mapping.
authors.affiliation: Department of Statistics & Probability, Michigan State University, East Lansing, Michigan, USA.
authors.forename: Shaoyu
authors.initials: S
authors.lastname: Li
authors.forename: Qing
authors.initials: Q
authors.lastname: Lu
authors.forename: Yuehua
authors.initials: Y
authors.lastname: Cui
mesh_terms: D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D015966:Gene Expression Regulation, Fungal; D053263:Gene Regulatory Networks; D023281:Genomics / Q000706:statistics & numerical data*; D005838:Genotype; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D010641:Phenotype; D040641:Quantitative Trait Loci; D049490:Systems Biology / Q000706:statistics & numerical data*