Evidence map›Paper›PMID 40233092›Full record

ArticlePLoS computational biology2025

Lipidome visualisation, comparison, and analysis in a vector space.

Timur Olzhabaev, Lukas Müller, Daniel Krause, Dominik Schwudke, Andrew Ernest Torda

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Timur OlzhabaevCentre for Bioinformatics, University of Hamburg, Hamburg, Germany.
Lukas MüllerCentre for Bioinformatics, University of Hamburg, Hamburg, Germany.
Daniel KrauseBioanalytical Chemistry, Research Center Borstel Leibniz Lung Center, Borstel, Germany.ORCID 0000-0002-7440-6201
Dominik SchwudkeBioanalytical Chemistry, Research Center Borstel Leibniz Lung Center, Borstel, Germany.ORCID 0000-0002-1379-9451
Andrew Ernest TordaCentre for Bioinformatics, University of Hamburg, Hamburg, Germany.ORCID 0000-0002-6076-709X

Funding

German Network For Bioinformatics Infrastructure
6 · The paper itself

Abstract

A shallow neural network was used to embed lipid structures in a 2- or 3-dimensional space with the goal that structurally similar species have similar vectors. Tests on complete lipid databanks show that the method automatically produces distributions which follow conventional lipid classifications. The embedding is accompanied by the web-based software, Lipidome Projector. This displays user lipidomes as 2D or 3D scatterplots for quick exploratory analysis, quantitative comparison and interpretation at a structural level. Examples of published data sets were used for a qualitative comparison with literature interpretation.

Indexed as

LipidomicsLipidsComputational BiologyHumansNeural Networks, ComputerSoftwareLipids

Identifiers

PMID40233092
PMCPMC12058142

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.