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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 3 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A pan-cancer compendium of chromosomal instability
Ruben M. Drews, Bárbara Hernando, Maxime Tarabichi, Kerstin Haase, Tom Lesluyes, Philip Smith +8 more
2022· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
311
citations
affunlabeled
Clinical implications and utility of field cancerization
Gabriel D. Dakubo, John P. Jakupciak, Mark A. Birch‐Machin, Ryan Parr
2007· article· en· Cancer Cell International· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
290
citations
affunlabeled
Biobanking for better healthcare
Peter Riegman, Manuel M. Morente, Fay Betsou, Pasquale De Blasio, Peter Geary
2008· review· en· Molecular Oncology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
284
citations
affunlabeled
Mutational signatures of ionizing radiation in second malignancies
Sam Behjati, Gunes Gundem, David C. Wedge, Nicola D. Roberts, Patrick Tarpey, Susanna L. Cooke +78 more
2016· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
282
citations
fundno affunlabeled
Genomic and immune profiling of pre-invasive lung adenocarcinoma
Haiquan Chen, Jian Carrot‐Zhang, Yue Zhao, Haichuan Hu, Samuel S. Freeman, Su Jeong Yu +34 more
2019· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
277
citations
fundno affunlabeled
Fast and scalable inference of multi-sample cancer lineages
Victoria Popic, Raheleh Salari, Iman Hajirasouliha, Dorna Kashef-Haghighi, Robert B. West, Serafim Batzoglou
2015· article· en· Genome Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
262
citations
affunlabeled
The process for continuous improvement of the TNM classification
Mary Gospodarowicz, Daniel M. Miller, Patti A. Groome, Frederick L. Greene, Pamela A. Logan, Leslie H. Sobin
2003· review· en· Cancer· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
252
citations
affno abstractunlabeled
Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC)
Peter Horak, Malachi Griffith, Arpad Danos, Beth A. Pitel, Subha Madhavan, Xue‐Lu Liu +41 more
2022· article· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
239
citations
afffundunlabeled
CCNE1 amplification is synthetic lethal with PKMYT1 kinase inhibition
David Gallo, Jordan T.F. Young, Jimmy Fourtounis, Giovanni Martino, Alejandro Álvarez-Quilón, Cynthia Bernier +30 more
2022· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
229
citations
affno abstractunlabeled
The NCI Genomic Data Commons
Allison P. Heath, Vincent Ferretti, Stuti Agrawal, Maksim An, James C. Angelakos, Renuka Arya +84 more
2021· article· pl· Nature Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
211
citations
afffundunlabeled
Prognostic gene signatures for non-small-cell lung cancer
Paul C. Boutros, Suzanne K. Lau, Melania Pintilie, Geoffrey Liu, Frances A. Shepherd, Sandy D. Der +3 more
2009· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
207
citations
affno abstractunlabeled
A practical guide to cancer subclonal reconstruction from DNA sequencing
Maxime Tarabichi, Adriana Salcedo, Amit G. Deshwar, Máire Ní Leathlobhair, Jeff Wintersinger, David C. Wedge +3 more
2021· review· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
201
citations

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