Evidence map›Paper›PMID 37313140›Full record

ArticleHeliyon2023

Seiðr: Efficient calculation of robust ensemble gene networks.

Bastian Schiffthaler, Elena van Zalen, Alonso R Serrano, Nathaniel R Street, Nicolas Delhomme

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Article
  6. Integrative analysis in Pinus revealed long-term heat stress splicing memory.The Plant journal : for cell and molecular biology · 2022
    Article
  7. Article
  8. 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.

Bastian SchiffthalerDepartment of Plant Physiology, Umea Plant Science Center, Umea University, Umea, Sweden.
Elena van ZalenDepartment of Plant Physiology, Umea Plant Science Center, Umea University, Umea, Sweden.
Alonso R SerranoDepartment of Plant Physiology, Umea Plant Science Center, Swedish University of Agricultural Sciences, Umea, Sweden.
Nathaniel R StreetDepartment of Plant Physiology, Umea Plant Science Center, Umea University, Umea, Sweden.
Nicolas DelhommeDepartment of Plant Physiology, Umea Plant Science Center, Swedish University of Agricultural Sciences, Umea, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene regulatory and gene co-expression networks are powerful research tools for identifying biological signal within high-dimensional gene expression data. In recent years, research has focused on addressing shortcomings of these techniques with regard to the low signal-to-noise ratio, non-linear interactions and dataset dependent biases of published methods. Furthermore, it has been shown that aggregating networks from multiple methods provides improved results. Despite this, few useable and scalable software tools have been implemented to perform such best-practice analyses. Here, we present Seidr (stylized Seiðr), a software toolkit designed to assist scientists in gene regulatory and gene co-expression network inference. Seidr creates community networks to reduce algorithmic bias and utilizes noise corrected network backboning to prune noisy edges in the networks. Using benchmarks in real-world conditions across three eukaryotic model organisms,

Indexed as

Functional genomicsGene co-expression networkGene network inferenceGene regulatory networkSystems biology

Identifiers

PMID37313140
PMCPMC10258422

What OpenQuestion holds

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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.