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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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Single-cell and spatial transcriptomics
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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.

affaffiliation
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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.

2,127 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.
2,127 works in the cohort · of 4,299,418page 4 of 43

Labels cover 2 of 2,127 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 2,127 of 2,127 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.

affunlabeled
The anatomy of single cell mass cytometry data
Lars Rønn Olsen, Michael D. Leipold, Christina B. Pedersen, Holden T. Maecker
2018· review· en· Cytometry Part A· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
105
citations
affunlabeled
Reconstruction of complex single-cell trajectories using CellRouter
Edroaldo Lummertz da Rocha, R. Grant Rowe, Vanessa Lundin, Mohan Malleshaiah, Deepak Kumar Jha, Carlos R. Rambo +4 more
2018· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
94
citations
afffundunlabeled
Data File Standard for Flow Cytometry, version FCS 3.1
Josef Špidlen, Wayne Moore, David R. Parks, Michael Goldberg, Chris Bray, Pierre Bierre +15 more
2009· article· en· Cytometry Part A· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · scholarly_communicationconsensus · none
94
citations
affno abstractunlabeled
Identification of astrocyte regulators by nucleic acid cytometry
Iain C. Clark, Michael A. Wheeler, Hong‐Gyun Lee, Zhaorong Li, Liliana M. Sanmarco, Shravan Thaploo +15 more
2023· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
90
citations
afffundunlabeled
Confronting false discoveries in single-cell differential expression
Jordan W. Squair, Matthieu Gautier, Claudia Kathe, Mark A. Anderson, Nicholas D. James, Thomas H. Hutson +8 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
82
citations
affaboutunlabeled
Automated Data Cleanup for Mass Cytometry
Charles Bruce Bagwell, Margaret Inokuma, Benjamin C. Hunsberger, Donald J. Herbert, Christopher C. Bray, Beth L. Hill +5 more
2019· article· en· Cytometry Part A· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
79
citations
affno abstractunlabeled
Gene expression microarrays: glimpses of the immunological genome
Gordon Hyatt, Rachel Melamed, Richard Park, Reuben Seguritan, Catherine Laplace, Laurent Poirot +12 more
2006· article· en· Nature Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
75
citations

How this was built: Screen · Findings · About