Evidence map›Paper›PMID 39687738›Full record

ArticleFrontiers in genetics2024

SOLA: dissecting dose-response patterns in multi-omics data using a semi-supervised workflow.

Wanxin Lai, You Song, Knut Erik Tollefsen, Torgeir R Hvidsten

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2024. 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

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.

Wanxin LaiBioinformatics and Applied Statistics (BIAS), Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Akershus, Norway.
You SongNorwegian Institute for Water Research (NIVA), Oslo, Norway.
Knut Erik TollefsenNorwegian Institute for Water Research (NIVA), Oslo, Norway.
Torgeir R HvidstenBioinformatics and Applied Statistics (BIAS), Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Akershus, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of ecotoxicological studies have used omics-data to understand the dose-response patterns of environmental stressors. However, very few have investigated complex non-monotonic dose-response patterns with multi-omics data. In the present study, we developed a novel semi-supervised network analysis workflow as an alternative to benchmark dose (BMD) modelling. We utilised a previously published multi-omics dataset generated from

Indexed as

adverse outcome pathway (AOP)Daphnia magnadose-response patternsmultiomicsnetwork analysisnon-monotonic responseradiation effectssemi-supervised approach

Identifiers

PMID39687738
PMCPMC11647027

What OpenQuestion holds

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Registered trials

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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.