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A posterior probability approach for gene regulatory network inference in genetic perturbation data

Research article (Mathematical Biosciences & Engineering, 2016) · cited 13× · AI/ML
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A posterior probability approach for gene regulatory network inference in genetic perturbation data

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A posterior probability approach for gene regulatory network inference in genetic perturbation data is a scholarly article[1].

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  • A posterior probability approach for gene regulatory network inference in genetic perturbation data's instance of is recorded as scholarly article[2].

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Ka Yee Yeung

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A posterior probability approach for gene regulatory network inference in genetic perturbation data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-posterior-probability-approach-for-gene-regulatory-network-inference-in-genetic-perturbation-data
MLA “A posterior probability approach for gene regulatory network inference in genetic perturbation data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-posterior-probability-approach-for-gene-regulatory-network-inference-in-genetic-perturbation-data.
BibTeX @misc{4ortxyz_a-posterior-probability-approach-for-gene-regulatory-network-inference-in-genetic-perturbation-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A posterior probability approach for gene regulatory network inference in genetic perturbation data}}, year = {2026}, url = {https://4ort.xyz/entity/a-posterior-probability-approach-for-gene-regulatory-network-inference-in-genetic-perturbation-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A posterior probability approach for gene regulatory network inference in genetic perturbation data — https://4ort.xyz/entity/a-posterior-probability-approach-for-gene-regulatory-network-inference-in-genetic-perturbation-data (retrieved 2026-05-24)

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