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Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example
Research article (Pharmacological Research, 2020) · cited 50× · AI/ML
Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example
Summary
Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example is a scholarly article[1].
Key Facts
Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploration-of-the-mechanism-of-traditional-chinese-medicine-by-ai-approach-using-unsupervised-machine-learning-for-cell
MLA“Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploration-of-the-mechanism-of-traditional-chinese-medicine-by-ai-approach-using-unsupervised-machine-learning-for-cell.
BibTeX@misc{4ortxyz_exploration-of-the-mechanism-of-traditional-chinese-medicine-by-ai-approach-using-unsupervised-machine-learning-for-cell_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example}}, year = {2026}, url = {https://4ort.xyz/entity/exploration-of-the-mechanism-of-traditional-chinese-medicine-by-ai-approach-using-unsupervised-machine-learning-for-cell}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example — https://4ort.xyz/entity/exploration-of-the-mechanism-of-traditional-chinese-medicine-by-ai-approach-using-unsupervised-machine-learning-for-cell (retrieved 2026-05-24)