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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Cancer Genomics and Diagnostics
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,811 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,811 works in the cohort · of 4,299,418page 8 of 57

Labels cover 10 of 2,811 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,811 of 2,811 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
The paradox of precision medicine
Jonathan Kimmelman, Ian F. Tannock
2018· review· en· Nature Reviews Clinical Oncology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaresearch+research_integrityconsensus · none
64
citations
afffundunlabeled
Toward precision medicine of breast cancer
Nicolas Carels, Lizania Spinassé, Tatiana Martins Tilli, Jack A. Tuszyński
2016· review· en· Theoretical Biology and Medical Modelling· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
62
citations
affno abstractunlabeled
Uncovering axes of variation among single-cell cancer specimens
William S. Chen, Nevena Zivanovic, David van Dijk, Guy Wolf, Bernd Bodenmiller, Smita Krishnaswamy
2020· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
58
citations
afffundunlabeled
The evolutionary history of 2,658 cancers
Moritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago González, Daniel Rosebrock +40 more
2017· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
58
citations
affunlabeled
Inferring structural variant cancer cell fraction
Marek Cmero, Ke Yuan, Cheng Soon Ong, Jan Schröder, David J. Adams, Pavana Anur +1276 more
2020· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
56
citations
affunlabeled
Biospecimen Use in Cancer Research Over Two Decades
Shevaun E. Hughes, Rebecca Barnes, Peter H. Watson
2010· article· en· Biopreservation and Biobanking· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
55
citations

How this was built: Screen · Findings · About