transparent gif

 

Ej inloggad.

Göteborgs universitets publikationer

MethPed: an R package for the identification of pediatric brain tumor subtypes

Författare och institution:
MT Ahamed (Institutionen för biomedicin, avdelningen för patologi); Anna Danielsson (Sahlgrenska Cancer Center); S. Nemes (-); Helena Carén (Sahlgrenska Cancer Center)
Publicerad i:
Bmc Bioinformatics, 17 ( 1 ) s. 262
ISSN:
1471-2105
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2016
Språk:
engelska
Fulltextlänk:
Sammanfattning (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/
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
MEDICIN OCH HÄLSOVETENSKAP ->
Klinisk medicin ->
Cancer och onkologi
Nyckelord:
DNA methylation, 450K, Random forest, R package, Glioblastoma, Medulloblastoma, Ependymoma, Classifier (classification tool), Astrocytoma, MethPed, Biochemistry & Molecular Biology, Biotechnology & Applied Microbiology, Mathematical & Computational Biology
Postens nummer:
239453
Posten skapad:
2016-07-25 13:03
Posten ändrad:
2016-08-12 14:57

Visa i Endnote-format

Göteborgs universitet • Tel. 031-786 0000
© Göteborgs universitet 2007