MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Epigenetics and DNA Methylation
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,101 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,101 works in the cohort · of 4,299,418page 70 of 83

Labels cover 8 of 4,101 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 4,101 of 4,101 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
Blood-Based Epigenetic Instability Linked to Human Aging and Disease
Salman Basrai, Ido Nofech-Mozes, Rajesh Detroja, Fernando Luís Scolari, Mehran Bakhtiari, Andrea Arruda +9 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Could a Methyl Group Predict Your Risk of Depression?
Alice Nykolay, A Shahid
2020· article· en· Sciential - McMaster Undergraduate Science Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Molecular Mechanisms of Lysine Methylation
Raymond C. Trievel, Paul Del Rizzo, J.-F. Couture, Lynnette M.A. Dirk, J.S. Brunzelle, Robert L. Houtz
2010· article· en· The FASEB Journal· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Epigenetics and Psychiatric Diseases
2025· book-chapter· en· Rare diseases of the immune system· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Non-canonical aberrant DNA hypermethylation in glioma
Agustín F. Fernández, Gustavo F. Bayón, Marta Sierra, Rocío G. Urdinguio, Estela G. Toraño, María J. García +20 more
2017· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Olfactory bulb anomalies in KBG syndrome mouse model and patients
Kara Goodkey, Anita Wischmeijer, Laurence Perrin, Duccio Maria Cordelli, Francesco Toni, Maria Gnazzo +4 more
2023· preprint· en· Research Square· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About