Evidence map›Paper›PMID 36993732›Full record

ArticlebioRxiv : the preprint server for biology2023

escheR: Unified multi-dimensional visualizations with Gestalt principles.

Boyi Guo, Louise A Huuki-Myers, Melissa Grant-Peters, Leonardo Collado-Torres, Stephanie C Hicks

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

5 · Who and what money

Authors and funding

5 authors.

Boyi GuoDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, MD, USA.ORCID 0000-0003-2950-2349
Louise A Huuki-MyersLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0001-5148-3602
Melissa Grant-PetersGenetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London, UK.ORCID 0000-0003-0585-0971
Leonardo Collado-TorresLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA.ORCID 0000-0003-2140-308X
Stephanie C HicksDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, MD, USA.ORCID 0000-0002-7858-0231

Funding

Laminar dissection of cortical human brain gene expression in neuropsychiatric disordersR01MH126393 · NIMH · LIEBER INSTITUTE, INC. · PI MARTINOWICH, KERI · 2021 to 2025
$3.9M
Spatial registration of gene expression in the human brainU01MH122849 · NIMH · LIEBER INSTITUTE, INC. · PI MARTINOWICH, KERI · 2020 to 2021
$1.7M
NIMH NIH HHS R01 MH126393NIMH NIH HHS U01 MH122849
6 · The paper itself

Abstract

The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve the design and interpretability of multi-dimensional data in 2D data visualizations, layering aesthetics to display multiple variables. The proposed visualization can be applied to spatially-resolved transcriptomics data, but also broadly to data visualized in 2D space, such as embedding visualizations. We provide an open source R package escheR, which is built off of the state-of-the-art ggplot2 visualization framework and can be seamlessly integrated into genomics toolboxes and workflows.

Identifiers

PMID36993732
PMCPMC10055209

What OpenQuestion holds

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LicenceCC BY
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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.