title: A statistical multiprobe model for analyzing cis and trans genes in genetical genomics experiments with short-oligonucleotide arrays.
abstract: Short-oligonucleotide arrays typically contain multiple probes per gene. In genetical genomics applications a statistical model for the individual probe signals can help in separating "true" differential mRNA expression from "ghost" effects caused by polymorphisms, misdesigned probes, and batch effects. It can also help in detecting alternative splicing, start, or termination.
authors.affiliation: Groningen Bioinformatics Centre (GBiC), Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, 9751 NN, Haren, The Netherlands. r.alberts@rug.nl
authors.forename: Rudi
authors.initials: R
authors.lastname: Alberts
authors.forename: Peter
authors.initials: P
authors.lastname: Terpstra
authors.forename: Leonid V
authors.initials: LV
authors.lastname: Bystrykh
authors.forename: Gerald
authors.initials: G
authors.lastname: de Haan
authors.forename: Ritsert C
authors.initials: RC
authors.lastname: Jansen
mesh_terms: D000818:Animals; D005819:Genetic Markers; D023281:Genomics / Q000706:statistics & numerical data*; D051379:Mice; D008810:Mice, Inbred C57BL; D008811:Mice, Inbred DBA; D008957:Models, Genetic; D015233:Models, Statistical; D015341:Nucleic Acid Probes; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D040641:Quantitative Trait Loci
chemical_list: D005819:Genetic Markers; D015341:Nucleic Acid Probes