Evidence map›Paper›PMID 40041206›Full record

ArticleNAR genomics and bioinformatics2025

iModEst: disentangling -omic impacts on gene expression variation across genes and tissues.

Dustin J Sokolowski, Mingjie Mai, Arnav Verma, Gabriela Morgenshtern, Vallijah Subasri, Hareem Naveed, Maria Yampolsky, Michael D Wilson, Anna Goldenberg, Lauren Erdman

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dustin J SokolowskiDepartment of Molecular Genetics, University of Toronto, ON M5S 3K3, Canada.
Mingjie MaiDepartment of Computer Science, University of Toronto, ON M5S 2E4, Canada.
Arnav VermaDepartment of Computer Science, University of Toronto, ON M5S 2E4, Canada.
Gabriela MorgenshternDepartment of Computer Science, University of Toronto, ON M5S 2E4, Canada.
Vallijah SubasriSickKids Research Institute, Program in Genetics and Genome Biology, ON M5G 0A4, Canada.
Hareem NaveedDepartment of Computer Science, University of Toronto, ON M5S 2E4, Canada.
Maria YampolskySickKids Research Institute, Program in Genetics and Genome Biology, ON M5G 0A4, Canada.
Michael D WilsonDepartment of Molecular Genetics, University of Toronto, ON M5S 3K3, Canada.
Anna GoldenbergDepartment of Computer Science, University of Toronto, ON M5S 2E4, Canada.
Lauren ErdmanDepartment of Computer Science, University of Toronto, ON M5S 2E4, Canada.ORCID 0000-0002-7106-2669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many regulatory factors impact the expression of individual genes including, but not limited, to microRNA, long non-coding RNA (lncRNA), transcription factors (TFs),

Indexed as

Gene Expression Regulation, NeoplasticNeoplasmsDNA Copy Number VariationsDNA MethylationHumansMicroRNAsPolymorphism, Single NucleotideRNA, Long NoncodingTranscription FactorsMicroRNAsRNA, Long NoncodingTranscription Factors

Identifiers

PMID40041206
PMCPMC11879402

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.