Evidence map›Paper›PMID 40208796›Full record

ArticleGigaScience2025

GeneSetCart: assembling, augmenting, combining, visualizing, and analyzing gene sets.

Giacomo B Marino, Stephanie Olaiya, John Erol Evangelista, Daniel J B Clarke, Avi Ma'ayan

Abstract read
In one paragraph

Article in GigaScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Giacomo B MarinoMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0009-0005-9727-559X
Stephanie OlaiyaMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0009-0002-4978-5980
John Erol EvangelistaMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0003-4836-0518
Daniel J B ClarkeMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0003-3471-7416
Avi Ma'ayanMount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0002-6904-1017

Funding

The CFDE WorkbenchOT2OD036435 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SUBRAMANIAM, SHANKAR · 2023 to 2025
$7.2M
Elucidating the Molecular Mechanisms that Mediate DKD Progression in Patients Living with HIVR01DK131525 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI John Cijiang He, Avi Ma'ayan · 2022 to 2026
$4.2M
ARCHS4: Massive Mining of Publicly Available RNA Sequencing DataU24CA264250 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Avi Ma'ayan · 2022 to 2026
$4.1M
The LINCS DCIC Engagement Plan with the CFDEOT2OD030160 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2020 to 2024
$3.4M
Diabetes Data and Hypothesis Hub (D2H2)RC2DK131995 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ATTIE, ALAN D, MA'AYAN, AVI · 2022 to 2023
$2.1M
NCI NIH HHS U24 CA264250NIDDK NIH HHS R01 DK131525NIDDK NIH HHS RC2 DK131995NIH HHS OT2 OD030160NIH HHS OT2 OD036435NIH HHS OT2OD036435
6 · The paper itself

Abstract

Converting multiomics datasets into gene sets facilitates data integration that leads to knowledge discovery. Although there are tools developed to analyze gene sets, only a few offer the management of gene sets from multiple sources. GeneSetCart is an interactive web-based platform that enables investigators to gather gene sets from various sources; augment these sets with gene-gene coexpression correlations and protein-protein interactions; perform set operations on these sets such as union, consensus, and intersection; and visualize and analyze these gene sets, all in one place. GeneSetCart supports the upload of single or multiple gene sets, as well as fetching gene sets by searching PubMed for genes comentioned with terms in publications. Venn diagrams, heatmaps, Uniform Manifold Approximation and Projection (UMAP) plots, SuperVenn diagrams, and UpSet plots can visualize the gene sets in a GeneSetCart session to summarize the similarity and overlap among the sets. Users of GeneSetCart can also perform enrichment analysis on their assembled gene sets with external tools. All gene sets in a session can be saved to a user account for reanalysis and sharing with collaborators. GeneSetCart has a gene set library crossing feature that enables analysis of gene sets created from several National Institutes of Health Common Fund programs. For the top overlapping sets from pairs of programs, a large language model (LLM) is prompted to propose possible reasons for the high overlap. Using this feature, two use cases are presented. In addition, users of GeneSetCart can produce publication-ready reports from their uploaded sets. Text in these reports is also supplemented with an LLM. Overall, GeneSetCart is a useful resource enabling biologists without programming expertise to facilitate data integration for hypothesis generation.

Indexed as

Computational BiologySoftwareDatabases, GeneticGene Expression ProfilingHumansagingAlexander diseaseChrome extensionexercisegene set intersectionGeneshotintegrative analysisSuperVennUpSetVenn

Identifiers

PMID40208796
PMCPMC11984350

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.