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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.

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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 11 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.

afffundunlabeled
Molecular atlas of the human brain vasculature at the single-cell level
Thomas Wälchli, Moheb Ghobrial, Marc Schwab, Shigeki Takada, Hang Zhong, Samuel Suntharalingham +25 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
ALCAM on human oligodendrocytes mediates CD4 T cell adhesion
Hélène Jamann, Haritha L. Desu, Qiao‐Ling Cui, Alexandre Halaweh, Olivier Tastet, Wendy Klément +19 more
2023· article· en· Brain· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
afffundno abstractunlabeled
Data-Driven Flow Cytometry Analysis
Sherrie Wang, Ryan R. Brinkman
2019· review· en· Methods in molecular biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Defining and benchmarking open problems in single-cell analysis
Malte D. Luecken, Scott Gigante, Daniel B. Burkhardt, Robrecht Cannoodt, Daniel Strobl, Nikolay S. Markov +43 more
2024· preprint· en· Research Square· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
Opto-magnetic capture of individual cells based on visual phenotypes
Loïc Binan, François Bélanger, Maxime Uriarte, Jean‐François Lemay, Jean Christophe Pelletier De Koninck, Joannie Roy +4 more
2019· article· en· eLife· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
Highly multiplexed single-cell quantitative PCR
Michael VanInsberghe, Hans Zahn, Adam K. White, Oleh I. Petriv, Carl L. Hansen
2018· article· en· PLoS ONE· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
afffundno abstractunlabeled
Space in cancer biology: its role and implications
Anna Fomitcheva Khartchenko, Aditya Kashyap, Tamar Geiger, Govind V. Kaigala
2022· review· en· Trends in cancer· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Bioengineering translational models of lymphoid tissues
Yale S. Michaels, Cara F. Buchanan, Nikolche Gjorevski, Annie Moisan
2023· article· en· Nature Reviews Bioengineering· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About