title: Online analysis of microarray data using artificial neural networks.
abstract: Herein we have set forth a detailed method to analyze microarray data using artificial neural networks (ANN) for the purpose of classification, diagnosis, or prognosis. All aspects of this analysis can be carried out online via a website. The reader is guided through each step of the analysis including data partitioning, preprocessing, ANN architecture, and learning parameter selection, gene selection, and interpretation of the results. This is one possible method of many but we have found it suitable to microarray data and attempted to discuss universal guidelines for this type of analysis along the way.
authors.affiliation: Oncogenomics Section, Pediatric Oncology Branch, Advanced Technology Center, National Cancer Institute, Gaithersburg, MD, USA.
authors.forename: Braden
authors.initials: B
authors.lastname: Greer
authors.forename: Javed
authors.initials: J
authors.lastname: Khan
mesh_terms: D001185:Artificial Intelligence; D023281:Genomics; D006801:Humans; D020407:Internet; D046228:Microarray Analysis / Q000706:statistics & numerical data*; D009369:Neoplasms / Q000145:classification / Q000175:diagnosis / Q000235:genetics / Q000473:pathology; D016571:Neural Networks, Computer; D011379:Prognosis