A Molecular Taxonomy of Urothelial Carcinoma
Even though urothelial cancer (UC) is the fourth common tumor type among males, progress in treatment development has been deficient. Pathological assessment provides the urologists with only a broad classification, complicated by frequent disagreement among pathologist and the co-existence of different grading systems. Consequently, there is a great need for an objective, reproducible and biologically relevant classification system to make treatment more efficient. In the present investigation...
Provenance — who produced it, who reused it
Linked to 86 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.
- Comprehensive Molecular Characterization of Muscle-Invasive Blad... 2017 · 2,492 cites
- Intrinsic subtypes of high-grade bladder cancer reflect the hall... 2014 · 888 cites
- PHGDH Inhibits Ferroptosis and Promotes Malignant Progression by... 2022 · 159 cites
- Multi-omics Integration Analysis Robustly Predicts High-Grade Pa... 2019 · 122 cites
- A reference profile-free deconvolution method to infer cancer ce... 2020 · 111 cites
- Integrated multiomics analysis and machine learning refine molec... 2023 · 79 cites
74 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.
- A reference profile-free deconvolution method to infer cance... L1 91/100
- Artificial Intelligence Meets Whole Slide Images: Deep Learn...
- Comprehensive analysis of a novel RNA modifications-related... L1 71/100
- Assessment tool based on fatty acid metabolic signatures for... L1 71/100
- A platelet-related signature for predicting the prognosis an...⚑ L1 51/100 ⚑