title: A probabilistic model for the extraction of expression levels from oligonucleotide arrays.
abstract: In this work we present a probabilistic model to estimate summaries of Affymetrix GeneChip probe level data. Comparisons with two different models were made both on a publicly available dataset and on a study performed in our laboratory, showing that our model performs better for consistency of fold change.
authors.affiliation: Department of Computer Science, University of Sheffield, 211 Portobello Street, Regent Court, Sheffield S4 1DP, U.K. m.milo@sheffield.ac.uk
authors.forename: M
authors.initials: M
authors.lastname: Milo
authors.forename: A
authors.initials: A
authors.lastname: Fazeli
authors.forename: M
authors.initials: M
authors.lastname: Niranjan
authors.forename: N D
authors.initials: ND
authors.lastname: Lawrence
mesh_terms: D008962:Models, Theoretical; D020411:Oligonucleotide Array Sequence Analysis; D011336:Probability; D012680:Sensitivity and Specificity