ArticleFrontiers in genetics2020
Dynamics of Gene Co-expression Networks in Time-Series Data: A Case Study in
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Temporal network analysis in systems biology: concepts, inference, and validation.Frontiers in bioinformatics · 2026Review
- tvsfglasso: Time-varying scale-free graphical lasso for network estimation from time-series data.PLoS computational biology · 2025Article
- Multi-trait GWAS for growth under contrasting thermal rearing conditions in rainbow trout (Oncorhynchus mykiss).Molecular genetics and genomics : MGG · 2025Article
- Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data.BMC bioinformatics · 2025Article
- Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation.NPJ systems biology and applications · 2025Article
- Impact of Intermittent Fasting on Survival and Gene Expression Profiles Associated with Autophagy, Metabolism, and Antioxidant inACS omega · 2025Article
- A high-resolution bovine mitochondrial co-expression network.Biology open · 2025Article
- Macrophage activation of the TREM2-DAP12-SYK pathway shapes the adipose tissue microenvironment in obesity and unveils the therapeutic potential of natural compounds egcg and SMRR.Frontiers in immunology · 2025Article
- Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation.BMC genomics · 2022Article
- The Molecular Mechanism of Multiple Organ Dysfunction and Targeted Intervention of COVID-19 Based on Time-Order Transcriptomic Analysis.Frontiers in immunology · 2021Article
- Transcriptome Response of Atlantic Salmon (Pathogens (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Co-expression networks tightly coordinate the spatiotemporal patterns of gene expression unfolding during development. Due to the dynamic nature of developmental processes simply overlaying gene expression patterns onto static representations of co-expression networks may be misleading. Here, we aim to formally quantitate topological changes of co-expression networks during embryonic development using a publicly available
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What OpenQuestion holds
Registered trials
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.