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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.

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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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Bioinformatics and Genomic Networks
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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.

1,922 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.
1,922 works in the cohort · of 4,299,418page 21 of 39

Labels cover 6 of 1,922 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 1,922 of 1,922 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.

afffundunlabeled
Integrative pathway enrichment analysis of multivariate omics data
Marta Paczkowska, Jonathan Barenboim, Nardnisa Sintupisut, Natalie C. Fox, Helen Zhu, Diala Abd-Rabbo +2 more
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Prioritization of genes for translation: a computational approach
Simone C. da Silva Rosa, Amir Barzegar Behrooz, Sofia Guedes, Rui Vitorino, Saeid Ghavami
2024· article· en· Expert Review of Proteomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
SRYTH: A New Yeast Two-Hybrid Method
Jaideep Mallick, Gregor Jansen, Cunle Wu, Malcolm Whiteway
2015· article· en· Methods in molecular biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Human protein-protein interaction prediction
Mark D. McDowall, Michelle S Scott, Geoffrey J. Barton
2010· article· en· BMC Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Genetic-based patient stratification in Alzheimer’s disease
Laura Hernández‐Lorenzo, Fernando García‐Gutiérrez, Ana Solbas-Casajús, Silvia Corrochano, Jordi A. Matías‐Guiu, José L. Ayala
2024· article· en· Scientific Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Interpretable Contrastive Learning for Networks.
Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan‐Liu Ma
2020· preprint· en· arXiv (Cornell University)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
sbv IMPROVER Diagnostic Signature Challenge
Raquel Norel, Erhan Bilal, Nathalie Conrad-Chemineau, Richard Bonneau, Alberto de la Fuente, Igor Jurišica +5 more
2013· article· en· Systems Biomedicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
CATchUP: A Web Database for Spatiotemporally Regulated Genes
Yukino Nakamura, Toru Kudo, Shin Terashima, Misa Saito, Eiji Nambara, Kentaro Yano
2016· article· en· Plant and Cell Physiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
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