title: A microarray data analysis framework for postmortem tissues.
abstract: This paper will give a complete methodological approach to the processing of oligonucleotide microarray data from postmortem tissue, particularly brain matter. Attention will be drawn to each of the important stages in the process; specifically the quality control, gene expression value calculation, multiple hypothesis testing and correlation analyses. We shall initially discuss the theoretical foundations of each individual method and subsequently apply the ensemble to a sample data set to illustrate and visualise important points.
authors.affiliation: Signal Processing Laboratory, Department of Engineering, University of Cambridge, UK.
authors.forename: Edmund S
authors.initials: ES
authors.lastname: Jackson
authors.forename: Matt T
authors.initials: MT
authors.lastname: Wayland
authors.forename: William
authors.initials: W
authors.lastname: Fitzgerald
authors.forename: Sabine
authors.initials: S
authors.lastname: Bahn
mesh_terms: D000465:Algorithms; D001344:Autopsy; D019295:Computational Biology / Q000379:methods*; D003933:Diagnosis; D020869:Gene Expression Profiling / Q000379:methods; D008954:Models, Biological; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011786:Quality Control