DNA methylation-based classification of central nervous system tumours
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Summary
This work presents a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and shows that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods.
- Type
- article
- Published
- 2018-03-14
- Cited by
- 2,523
- References
- 62
- Access
- Open access
- OpenAlex
- https://openalex.org/W2787816121
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4076915
Keywords
DNA methylation, DNA, Methylation, Central nervous system, Nervous system
References
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- Classification and Regression by randomForest
- Adult IDH wild type astrocytomas biologically and clinically resolve into other tumor entities
- Advances in Large Margin Classifiers
- WHO classification of tumours of the central nervous system
- Overfitting, generalization, and MSE in class probability estimation with high‐dimensional data
- Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
- Papillary Tumor of the Pineal Region: A Distinct Molecular Entity
- Class probability estimation for medical studies
- A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
- Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups
- Orchestrating high-throughput genomic analysis with Bioconductor
- Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma
- Calibrating Random Forests
- A general framework for multiple testing dependence
- Recurrent somatic alterations of FGFR1 and NTRK2 in pilocytic astrocytoma
- Prognostic significance of clinical, histopathological, and molecular characteristics of medulloblastomas in the prospective HIT2000 multicenter clinical trial cohort
- Classification and regression trees
- VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
- Regularization Paths for Generalized Linear Models via Coordinate Descent
Cited by
- Machine learning classifies cancer
- Distribution and prognostic impact of microglia/macrophage subpopulations in gliomas
- Molecular and translational advances in meningiomas.
- Genome Medicine for Brain Tumors: Current Status and Future Perspectives
- In the literature: April 2018
- Sitzungsbericht der AG Knochen‑, Gelenk- und Weichgewebspathologie
- The DNA methylome of DDR genes and benefit from RT or TMZ in IDH mutant low-grade glioma treated in EORTC 22033
- Anaplastic astrocytoma with piloid features, a novel molecular class of IDH wildtype glioma with recurrent MAPK pathway, CDKN2A/B and ATRX alterations
- Toward methylation-based classification of central nervous system tumors.
- Epigenetic profiling for the molecular classification of metastatic brain tumors
- Next generation neuro-oncology.
- DNA methylation-based reclassification of olfactory neuroblastoma
- Sequencing the next generation of glioblastomas
- Novel, improved grading system(s) for IDH-mutant astrocytic gliomas
- Molecular, Pathological, Radiological, and Immune Profiling of Non-brainstem Pediatric High-Grade Glioma from the HERBY Phase II Randomized Trial
- Risk-adapted therapy for young children with medulloblastoma (SJYC07): results and molecular analysis from a multicenter phase II trial
- Concurrent IDH1 and SMARCB1 Mutations in Pediatric Medulloblastoma: A Case Report
- Molecularly defined diffuse leptomeningeal glioneuronal tumor (DLGNT) comprises two subgroups with distinct clinical and genetic features
- Molecular heterogeneity and CXorf67 alterations in posterior fossa group A (PFA) ependymomas
- Childhood Cerebellar Tumors Mirror Conserved Fetal Transcriptional Programs
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