Evidence map›Paper›PMID 33861629›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2021

GSEAplot: A Package for Customizing Gene Set Enrichment Analysis in R.

Sarah E Innis, Kelsie Reinaltt, Mete Civelek, Warren D Anderson

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  12. Regulation of Follicular Development in Chickens:International journal of molecular sciences · 2024
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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.

Sarah E InnisDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Kelsie ReinalttDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Mete CivelekDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Warren D AndersonCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-7235-5869

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
Research Training in Neuroendocrinology and MetabolismT32DK007646 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI ZHENQI LIU · 1990 to 2026
$4.9M
The role of adipocyte KLF14 in Metabolic SyndromeR01DK118287 · NIDDK · UNIVERSITY OF VIRGINIA · PI CIVELEK, METE · 2018 to 2022
$2.4M
Identifying Genetic Drivers of Expression Networks Causing Insulin ResistanceR01DK118243 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAS, SWAPAN KUMAR · 2018 to 2020
$1.1M
NHLBI NIH HHS T32 HL007284NIDDK NIH HHS R01 DK118243NIDDK NIH HHS R01 DK118287NIDDK NIH HHS T32 DK007646
6 · The paper itself

Abstract

Gene Set Enrichment Analysis (GSEA) is used to identify differentially expressed gene sets that are enriched for annotated biological functions. The existing GSEA R code is not in the form of a flexible package with analysis and plotting customization options, and the results produced are not generated in the form of R objects. In this study, we introduce the GSEAplot R package with novel functionality for saving relevant information from the analysis to the current R workspace, and we introduce the ability to customize plots and databases. The GSEAplot package provides a novel utility that facilitates the implementation of GSEA R-based in genomics analysis pipelines.

Indexed as

SoftwareAnimalsComputational BiologyDatabases, GeneticGene Expression ProfilingHumansfunctional enrichment analysisgene set analysisR package

Identifiers

PMID33861629
PMCPMC8219183

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.