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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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Gene expression and cancer classification
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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.

1,836 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.
1,836 works in the cohort · of 4,299,418page 4 of 37

Labels cover 4 of 1,836 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 1,836 of 1,836 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
An introduction to DNA microarrays for gene expression analysis
Tobias K. Karakach, Robert M Flight, Susan E. Douglas, Peter D. Wentzell
2010· article· en· Chemometrics and Intelligent Laboratory Systems· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
61
citations
affno abstractunlabeled
Data mining of gene expression changes in Alzheimer brain
P. Roy Walker, Brandon Smith, Qing Yan Liu, A. Fazel Famili, Julio J. Valdés, Ziying Liu +1 more
2004· article· en· Artificial Intelligence in Medicine· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
60
citations
afffundunlabeled
Curation of over 10 000 transcriptomic studies to enable data reuse
Nathaniel C. Lim, Stepan Tesar, Manuel Belmadani, Guillaume Poirier‐Morency, B. Ogan Mancarci, Jordan Sicherman +4 more
2021· article· en· Database· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
60
citations
afffundunlabeled
Genome Wide Gene Expression Studies in Mood Disorders
Adolfo Sequeira, Gustavo Turecki
2006· review· en· OMICS A Journal of Integrative Biology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
60
citations
affno abstractunlabeled
Rule Extraction from Random Forest: the RF+HC Methods
Morteza Mashayekhi, Robin Gras
2015· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
58
citations
affno abstractunlabeled
Molecular Profiling of Clinical Tissue Specimens
Michael R. Emmert‐Buck, Robert L. Strausberg, David B. Krizman, Maria F. Bonaldo, Robert F. Bonner, David G. Bostwick +27 more
2000· review· en· Journal of Molecular Diagnostics· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
57
citations
affunlabeled
Unfolding of Microarray Data
Andrew B. Goryachev, Pascale F Macgregor, A.M. Edwards
2001· article· en· Journal of Computational Biology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
56
citations
affunlabeled
Xeml Lab: a tool that supports the design of experiments at a graphical interface and generates computer‐readable metadata files, which capture information about genotypes, growth conditions, environmental perturbations and sampling strategy
Jan Hannemann, Hendrik Poorter, Björn Usadel, Oliver E. Bläsing, Alex Finck, François Tardieu +4 more
2009· review· en· Plant Cell & Environment· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
56
citations
affno abstractunlabeled
Understanding Prognostic Gene Expression Signatures in Lung Cancer
Chang‐Qi Zhu, Melania Pintilie, Thomas John, Dan Strumpf, Frances A. Shepherd, Sandy D. Der +2 more
2009· review· en· Clinical Lung Cancer· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
55
citations
affno abstractunlabeled
Differential display technology: a general guide
Joshua D. Stein, Ping Liang
2002· review· en· Cellular and Molecular Life Sciences· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
47
citations
afffundunlabeled
Models for microarray gene expression data
Mei‐Ling Ting Lee, Lu W, G. À. Whitmore, David R. Beier
2002· article· en· Journal of Biopharmaceutical Statistics· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Gene Expression Profiling and its Practice in Drug Development
Murty Chengalvala, Vargheese M. Chennathukuzhi, Daniel St Johnston, Panayiotis E. Stevis, Gregory S. Kopf
2007· article· en· Current Genomics· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Microarray analysis of the developing cortex
Mawahib O. Semeralul, Paul C. Boutros, Olga Likhodi, Allan B. Okey, Hubert H.M. Van Tol, Albert H.C. Wong
2006· article· en· Journal of Neurobiology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
46
citations

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