ArticleCurrent genomics2015
Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression Data.
Article in Current genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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.
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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.
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Who cites it
33 citing papers in PubMed, 77 citations in OpenAlex.
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- Small secreted proteins and exocytosis regulators: do they go along?Plant signaling & behavior · 2023Article
- Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration.PLoS computational biology · 2023Article
- AURKA, TOP2A and MELK are the key genes identified by WGCNA for the pathogenesis of lung adenocarcinoma.Oncology letters · 2023Article
- LogBTF: gene regulatory network inference using Boolean threshold network model from single-cell gene expression data.Bioinformatics (Oxford, England) · 2023Article
- Review
- Causal network inference from gene transcriptional time-series response to glucocorticoids.PLoS computational biology · 2021Article
- Engineering regulatory networks for complex phenotypes in E. coli.Nature communications · 2020Article
- A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks.BMC bioinformatics · 2020Article
- RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart.Frontiers in genetics · 2020Article
- Journal Current Genomics: News and Editorial Prospects.Current genomics · 2019Article
- Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks.BMC systems biology · 2019Article
- Retinoic Acid Induces Embryonic Stem Cells (ESCs) Transition to 2 Cell-Like State Through a Coordinated Expression ofFrontiers in cell and developmental biology · 2019Article
- Review of Causal Discovery Methods Based on Graphical Models.Frontiers in genetics · 2019Review
- Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World.Proteomes · 2018Article
- Transcription Factor Co-expression Networks of Adipose RNA-Seq Data Reveal Regulatory Mechanisms of Obesity.Current genomics · 2018Article
- Gene master regulators of papillary and anaplastic thyroid cancers.Oncotarget · 2018Article
- Candidate genes in gastric cancer identified by constructing a weighted gene co-expression network.PeerJ · 2018Article
- From protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data.EURASIP journal on bioinformatics & systems biology · 2017Review
- Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method.Oncotarget · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcriptional regulation plays vital roles in many fundamental biological processes. Reverse engineering of genome-wide regulatory networks from high-throughput transcriptomic data provides a promising way to characterize the global scenario of regulatory relationships between regulators and their targets. In this review, we summarize and categorize the main frameworks and methods currently available for inferring transcriptional regulatory networks from microarray gene expression profiling data. We overview each of strategies and introduce representative methods respectively. Their assumptions, advantages, shortcomings, and possible improvements and extensions are also clarified and commented.
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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.