DNA methylation-based classification of human central nervous system tumors [reference set]
Background: Modern neuropathology is challenged by an increasing number of clinically-relevant CNS tumor subgroups that require assessment of a multitude of molecular markers for classification, as well a highly trained medical staff. Failure to meet this challenge leads to tumor misclassification, which can have severe consequences for affected patients. Methods: We compiled a cohort of genome-wide DNA methylation profiles of 2,682 tumors from 82 histologically and/or molecularly distinct CNS...
Provenance — who produced it, who reused it
Linked to 21 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Proteogenomic and metabolomic characterization of human glioblas... 2021 · 690 cites
- Epigenetic profiling for the molecular classification of metasta... 2018 · 115 cites
- Integrative multi-omics networks identify PKCδ and DNA-PK as mas... 2023 · 93 cites
- Atypical teratoid/rhabdoid tumors (ATRTs) with SMARCA4 mutation... 2020 · 93 cites
16 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently