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
RNA Research and Splicing
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.

3,010 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.
3,010 works in the cohort · of 4,299,418page 27 of 61

Labels cover 5 of 3,010 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 3,010 of 3,010 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
Roles for Non-coding RNAs in Spatial Genome Organization
Negin Khosraviani, Lauren Ostrowski, Karim Mekhail
2019· review· en· Frontiers in Cell and Developmental Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
24
citations
afffundno abstractunlabeled
CSDE1 attenuates microRNA-mediated silencing of PMEPA1 in melanoma
Pavan Kumar Kakumani, Tanit Guitart, François Houle, Louis-Mathieu Harvey, Benjamin Goyer, Lucie Germain +2 more
2021· article· en· Oncogene· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
RNA Granules and Their Role in Neurodegenerative Diseases
Hadjara Sidibé, Christine Vande Velde
2019· review· en· Advances in experimental medicine and biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
23
citations
afffundno abstractunlabeled
The association of Sam68 with Vav1 contributes to tumorigenesis
Galit Lazer, Liron Pe'er, Vered Schapira, Stéphane Richard, Shulamit Katzav
2007· article· en· Cellular Signalling· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Model-based detection of alternative splicing signals
Yoseph Barash, Benjamin J. Blencowe, Brendan J. Frey
2010· article· en· Bioinformatics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
The role of mRNA splicing in prostate cancer
AnnaV Lapuk, StanislavV Volik, Yuzhuo Wang, ColinC Collins
2014· review· en· Asian Journal of Andrology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About