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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 2 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.

fundno affno abstractunlabeled
Disentangling neural cell diversity using single-cell transcriptomics
Jean‐François Poulin, Bosiljka Tasic, Jens Hjerling‐Leffler, Jeffrey M. Trimarchi, Rajeshwar Awatramani
2016· review· en· Nature Neuroscience· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
323
citations
affunlabeled
Imaging Mass Cytometry
Qing Chang, Olga Ornatsky, Iram Siddiqui, Alexander Loboda, Vladimir Baranov, David W. Hedley
2017· editorial· en· Cytometry Part A· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
298
citations
afffundno abstractunlabeled
Cell type prioritization in single-cell data
Michael A. Skinnider, Jordan W. Squair, Claudia Kathe, Mark A. Anderson, Matthieu Gautier, Kaya J.E. Matson +8 more
2020· article· en· Nature Biotechnology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
269
citations
affunlabeled
Standardization of cytokine flow cytometry assays
Holden T. Maecker, Aline Rinfret, Patricia D’Souza, Janice M. Darden, Eva Roig, Claire Landry +36 more
2005· article· en· BMC Immunology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
239
citations
afffundno abstractunlabeled
Microfluidic single cell analysis: from promise to practice
Véronique Lecault, Adam K. White, Anupam Singhal, Carl L. Hansen
2012· review· en· Current Opinion in Chemical Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
233
citations
affno abstractunlabeled
Single-cell analysis targeting the proteome
Mahmoud Labib, Shana O. Kelley
2020· review· en· Nature Reviews Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
231
citations
affno abstractunlabeled
Temporal modelling using single-cell transcriptomics
Jun Ding, Nadav Sharon, Ziv Bar‐Joseph
2022· review· en· Nature Reviews Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
215
citations
affno abstractunlabeled
A roadmap for the Human Developmental Cell Atlas
Muzlifah Haniffa, Deanne Taylor, Sten Linnarsson, Bruce J. Aronow, Gary D. Bader, Roger A. Barker +47 more
2021· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
191
citations
afffundunlabeled
Digital microfluidic isolation of single cells for -Omics
Julian Lamanna, E. Scott, Harrison Edwards, M. Dean Chamberlain, Michael D. M. Dryden, Jiaxi Peng +10 more
2020· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
178
citations
affno abstractunlabeled
An introduction to mass cytometry: fundamentals and applications
Scott D. Tanner, Vladimir Baranov, Olga Ornatsky, Dmitry Bandura, Thaddeus C. George
2013· review· en· Cancer Immunology Immunotherapy· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
162
citations
afffundno abstractunlabeled
Transformers in single-cell omics: a review and new perspectives
Artur Szałata, Karin Hrovatin, Sören Becker, Alejandro Tejada-Lapuerta, Haotian Cui, Bo Wang +1 more
2024· review· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
160
citations

How this was built: Screen · Findings · About