Journal Article

DKFZ-2020-00190

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.

Maros, M. E. ; Capper, D.DKFZ* ; Jones, D. T. W.DKFZ* ; Hovestadt, V.DKFZ* ; von Deimling, A.DKFZ* ; Pfister, S. M.DKFZ* ; Benner, A.DKFZ* ; Zucknick, M. ; Sill, M. (Last author)DKFZ*

2020
Nature Publishing Group Basingstoke

This record in other databases:  

Please use a persistent id in citations: doi:10.1038/s41596-019-0251-6

Abstract: Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.

Note: #LA:B062#

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Contributing Institute(s):

1. DKTK BE zentral (BE01)
2. DKTK HD zentral (HD01)
3. Pediatric Glioma (B360)
4. KKE Neuropathologie (B300)
5. B060 Molekulare Genetik (B060)
6. B062 Pädiatrische Neuroonkologie (B062)
7. C060 Biostatistik (C060)

Research Program(s):

1. 312 - Functional and structural genomics (POF3-312) (POF3-312)

Appears in the scientific report 2020

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; IF >= 10 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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