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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 3 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.

affno abstractunlabeled
Tumour vasculature at single-cell resolution
Pan Xu, Xin Li, Liang Dong, Teng Liu, Min Zhang, Lining Zhang +10 more
2024· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
148
citations
affunlabeled
Predictability of human differential gene expression
Megan Crow, Nathaniel C. Lim, Sara Ballouz, Paul Pavlidis, Jesse Gillis
2019· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
137
citations
afffundunlabeled
Per‐channel basis normalization methods for flow cytometry data
Florian Hahne, Alireza Hadj Khodabakhshi, Ali Bashashati, Chao‐Jen Wong, Randy D. Gascoyne, Andrew P. Weng +6 more
2009· article· en· Cytometry Part A· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
132
citations
fundno affno abstractunlabeled
Emergence of Neuronal Diversity during Vertebrate Brain Development
Bushra Raj, Jeffrey A. Farrell, Jialin Liu, Jakob El Kholtei, Adam N. Carte, Joaquín Navajas Acedo +5 more
2020· article· en· Neuron· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
130
citations
fundno affunlabeled
Mapping cells through time and space with moscot
Dominik Klein, Giovanni Palla, Marius Lange, Michal Klein, Zoe Piran, Manuel Gander +14 more
2025· article· en· Nature· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
124
citations
aboutno affunlabeled
Archaic adaptive introgression in <i>TBX15/WARS2</i>
Fernando Racimo, David Gokhman, Matteo Fumagalli, Amy Ko, Torben Hansen, Ida Moltke +4 more
2016· article· en· Molecular Biology and Evolution· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
119
citations
affunlabeled
Genome-wide spatial expression profiling in formalin-fixed tissues
Eva Gracia Villacampa, Ludvig Larsson, Reza Mirzazadeh, Linda Kvastad, Alma Andersson, Annelie Mollbrink +11 more
2021· article· en· Cell Genomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
118
citations
afffundunlabeled
A Survey of Flow Cytometry Data Analysis Methods
Ali Bashashati, Ryan R. Brinkman
2009· article· en· Advances in Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
116
citations
afffundunlabeled
Patch-seq: Past, Present, and Future
Marcela Lipovsek, Cédric Bardy, Cathryn R. Cadwell, Kristen Hadley, Dmitry Kobak, Shreejoy J. Tripathy
2021· review· en· Journal of Neuroscience· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
109
citations
afffundunlabeled
Flow Cytometry Bioinformatics
Kieran O’Neill, Nima Aghaeepour, Josef Špidlen, Ryan R. Brinkman
2013· article· en· PLoS Computational Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
106
citations
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

How this was built: Screen · Findings · About