MethPed: an R package for the identification of pediatric brain tumor subtypes. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Ahamed, Mohammad; Danielsson, Anna; Nemes, Szilárd; Carén, Helena
• Is Part Of: BMC bioinformatics. Volume 17:Issue 1(2016)
• Page Start: 1
• Page End: 3
• Publication Date: 2016-12
• Subjects: DNA methylation -- 450K -- Random forest -- R package -- Glioblastoma -- Medulloblastoma -- Ependymoma -- Classifier (classification tool) -- Astrocytoma -- MethPed; Bioinformatics -- Periodicals; Computational biology -- Periodicals; 570.285
• DOI: 10.1186/s12859-016-1144-0
• Languages: English
• ISSNs: 1471-2105

Abstract

Abstract Background DNA methylation profiling of pediatric brain tumors offers a new way of diagnosing and subgrouping these tumors which improves current clinical diagnostics based on histopathology. We have therefore developed the MethPed classifier, which is a multiclass random forest algorithm, based on DNA methylation profiles from many subgroups of pediatric brain tumors. Results We developed an R package that implements the MethPed classifier, making it easily available and accessible. The package can be used for estimating the probability that an unknown sample belongs to each of nine pediatric brain tumor diagnoses/subgroups. Conclusions The MethPed R package efficiently classifies pediatric brain tumors using the developed MethPed classifier. MethPed is available via Bioconductor:http://bioconductor.org/packages/MethPed/