Evidence map›Paper›PMID 42831424›Full record

ArticleNucleic acids research2026

Commentary on 'corradjust unveils biologically relevant transcriptomic correlations by efficiently eliminating hidden confounders'.

Anahita Babaie, Enakshi Saha, John Quackenbush, Marouen Ben Guebila

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. 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

4 authors.

Anahita BabaieDepartment of Mathematics, Brandeis University, Waltham, MA 02453, USA.ORCID 0009-0005-6329-2439
Enakshi SahaDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0003-2938-539X
John QuackenbushDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-2702-5879
Marouen Ben GuebilaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0001-5934-966X

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
WebMeV: A Robust Platform for Intuitive Genomic Data AnalysisU24CA231846 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2019 to 2023
$3.2M
Networks Tools to Understand Sex- and Gender-Specific Drivers of DiseaseR01HG011393 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L, QUACKENBUSH, JOHN · 2021 to 2024
$2.1M
Resolving phenotypic overlap in renal carcinoma subtypes using multi-tiered network methodsK25CA297149 · NCI · DANA-FARBER CANCER INST · PI Marouen Ben Guebila · 2025 to 2026
$340k
NCI NIH HHS K25 CA297149NCI NIH HHS P50 CA127003NCI NIH HHS R35 CA220523NCI NIH HHS U24 CA231846NHGRI NIH HHS R01 HG011393NIH HHS K25CA297149NIH HHS P50CA127003NIH HHS R01HG011393NIH HHS R35CA220523NIH HHS U24CA231846
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID42831424
PMCPMC13635743

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.