A statistical multiprobe model for analyzing cis and trans genes in genetical genomics experiments with short-oligonucleotide arrays.
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.
Alberts
Rudi
R
Groningen Bioinformatics Centre (GBiC), Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, 9751 NN, Haren, The Netherlands. r.alberts@rug.nl
Terpstra
Peter
P
Bystrykh
Leonid V
LV
de Haan
Gerald
G
Jansen
Ritsert C
RC
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
D005819:Genetic Markers; D015341:Nucleic Acid Probes