title: MicroPreP: a cDNA microarray data pre-processing framework.
abstract: The user-friendly MicroPreP framework was developed to transform raw intensity data from cDNA microarrays into high-quality data. The main features of this software are: LOWESS normalisation; merging of DNA microarray data from changing slide versions; outlier detection; and slide quality assessment.
authors.affiliation: Molecular Genetics, University of Groningen, Groningen Biomolecular Sciences and Biotechnology Institute, Haren, The Netherlands. s.a.f.t.van.hijum@biol.rug.nl
authors.forename: Sacha A F T
authors.initials: SA
authors.lastname: van Hijum
authors.forename: Jorge
authors.initials: J
authors.lastname: García de la Nava
authors.forename: Oswaldo
authors.initials: O
authors.lastname: Trelles
authors.forename: Jan
authors.initials: J
authors.lastname: Kok
authors.forename: Oscar P
authors.initials: OP
authors.lastname: Kuipers
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011786:Quality Control; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software