Evidence map›Paper›PMID 34849461›Full record

ArticleiScience2021

CellexalVR: A virtual reality platform to visualize and analyze single-cell omics data.

Oscar Legetth, Johan Rodhe, Stefan Lang, Parashar Dhapola, Mattias Wallergård, Shamit Soneji

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. The virus lesson: Teaching viral structure and quasi-symmetry in mixed reality.Protein science : a publication of the Protein Society · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Digital Phenotyping: A Game Changer for the Broiler Industry.Animals : an open access journal from MDPI · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Spatially resolved transcriptomics in immersive environments.Visual computing for industry, biomedicine, and art · 2022
    Article
  14. Bioinformatics and the Metaverse: Are We Ready?Frontiers in bioinformatics · 2022
    Article
  15. Article
  16. Article
  17. 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

6 authors.

Oscar LegetthDivision of Molecular Hematology, BMC, Lund University, 22690 Lund, Sweden.
Johan RodheDivision of Molecular Hematology, BMC, Lund University, 22690 Lund, Sweden.
Stefan LangDivision of Molecular Hematology, BMC, Lund University, 22690 Lund, Sweden.
Parashar DhapolaDivision of Molecular Hematology, BMC, Lund University, 22690 Lund, Sweden.
Mattias WallergårdDepartment of Design Sciences, LTH, Lund University, 22100 Lund, Sweden.
Shamit SonejiDivision of Molecular Hematology, BMC, Lund University, 22690 Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNAseq is a routinely used method to explore heterogeneity within cell populations. Data from these experiments are often visualized using dimension reduction methods such as UMAP and tSNE, where each cell is projected in two or three dimensional space. Three-dimensional projections can be more informative for larger and complex datasets because they are less prone to merging and flattening similar cell-types/clusters together. However, visualizing and cross-comparing 3D projections using current software on conventional flat-screen displays is far from optimal as they are still essentially 2D, and lack meaningful interaction between the user and the data. Here we present CellexalVR (www.cellexalvr.med.lu.se), a feature-rich, fully interactive virtual reality environment for the visualization and analysis of single-cell experiments that allows researchers to intuitively and collaboratively gain an understanding of their data.

Indexed as

BioinformaticsComputer scienceOmicsSoftware engineeringSystems biologyTranscriptomics

Identifiers

PMID34849461
PMCPMC8609247

What OpenQuestion 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 OpenQuestion graph.