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Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model
Research article (BMC Pediatrics, 2023) · cited 49× · AI/ML
Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model
Summary
Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model is a scholarly article[1].
Key Facts
Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model. Retrieved May 24, 2026, from https://4ort.xyz/entity/bioinformatic-analysis-of-underlying-mechanisms-of-kawasaki-disease-via-weighted-gene-correlation-network-analysis-wgcna
MLA“Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bioinformatic-analysis-of-underlying-mechanisms-of-kawasaki-disease-via-weighted-gene-correlation-network-analysis-wgcna.
BibTeX@misc{4ortxyz_bioinformatic-analysis-of-underlying-mechanisms-of-kawasaki-disease-via-weighted-gene-correlation-network-analysis-wgcna_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model}}, year = {2026}, url = {https://4ort.xyz/entity/bioinformatic-analysis-of-underlying-mechanisms-of-kawasaki-disease-via-weighted-gene-correlation-network-analysis-wgcna}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model — https://4ort.xyz/entity/bioinformatic-analysis-of-underlying-mechanisms-of-kawasaki-disease-via-weighted-gene-correlation-network-analysis-wgcna (retrieved 2026-05-24)
