From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations

Research article (Journal of Proteome Research, 2016) · cited 22× · AI/ML
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From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations

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From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations. Retrieved May 24, 2026, from https://4ort.xyz/entity/from-correlation-to-causality-statistical-approaches-to-learning-regulatory-relationships-in-large-scale-biomolecular-in
MLA “From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/from-correlation-to-causality-statistical-approaches-to-learning-regulatory-relationships-in-large-scale-biomolecular-in.
BibTeX @misc{4ortxyz_from-correlation-to-causality-statistical-approaches-to-learning-regulatory-relationships-in-large-scale-biomolecular-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{From Correlation to Causality: Statistical Approaches to Learning Regulatory Relationships in Large-Scale Biomolecular Investigations}}, year = {2026}, url = {https://4ort.xyz/entity/from-correlation-to-causality-statistical-approaches-to-learning-regulatory-relationships-in-large-scale-biomolecular-in}, note = {Accessed: 2026-05-24}}
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