title: Multiplex meta-analysis of medulloblastoma expression studies with external controls.
abstract: We propose and discuss a method for doing gene expression meta-analysis (multiple datasets) across multiplex measurement modalities measuring the expression of many genes simultaneously (e.g. microarrays and RNAseq) using external control samples and a method of heterogeneity detection to identify and filter on comparable gene expression measurements. We demonstrate this approach on publicly available gene expression datasets from samples of medulloblastoma and normal cerebellar tissue and identify some potential new targets in the treatment of medulloblastoma.
authors.affiliation: Stanford University School of Medicine, Stanford, CA 94305, USA. alexmo@stanford.edu.
authors.forename: Alexander A
authors.initials: AA
authors.lastname: Morgan
authors.forename: Achal S
authors.initials: AS
authors.lastname: Achrol
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Li
authors.forename: Purvesh J
authors.initials: PJ
authors.lastname: Khatri
authors.forename: Samuel H
authors.initials: SH
authors.lastname: Cheshier
mesh_terms: D002528:Cerebellar Neoplasms / Q000235:genetics*; D019295:Computational Biology; D030541:Databases, Genetic / Q000706:statistics & numerical data; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D006801:Humans; D008527:Medulloblastoma / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data