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Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations
Research article (BMC Bioinformatics, 2020) · cited 16× · AI/ML
Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations
Summary
Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations is a scholarly article[1].
Key Facts
Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/reverse-engineering-directed-gene-regulatory-networks-from-transcriptomics-and-proteomics-data-of-biomining-bacterial-co
MLA“Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reverse-engineering-directed-gene-regulatory-networks-from-transcriptomics-and-proteomics-data-of-biomining-bacterial-co.
BibTeX@misc{4ortxyz_reverse-engineering-directed-gene-regulatory-networks-from-transcriptomics-and-proteomics-data-of-biomining-bacterial-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations}}, year = {2026}, url = {https://4ort.xyz/entity/reverse-engineering-directed-gene-regulatory-networks-from-transcriptomics-and-proteomics-data-of-biomining-bacterial-co}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations — https://4ort.xyz/entity/reverse-engineering-directed-gene-regulatory-networks-from-transcriptomics-and-proteomics-data-of-biomining-bacterial-co (retrieved 2026-05-24)
