BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks

Research article (IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022) · cited 16× · AI/ML
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BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks

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BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/biocode-a-data-driven-procedure-to-learn-the-growth-of-biological-networks
MLA “BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/biocode-a-data-driven-procedure-to-learn-the-growth-of-biological-networks.
BibTeX @misc{4ortxyz_biocode-a-data-driven-procedure-to-learn-the-growth-of-biological-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks}}, year = {2026}, url = {https://4ort.xyz/entity/biocode-a-data-driven-procedure-to-learn-the-growth-of-biological-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks — https://4ort.xyz/entity/biocode-a-data-driven-procedure-to-learn-the-growth-of-biological-networks (retrieved 2026-05-24)

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