Z, C., X, D., Y, Y., T, Z., & C, L. (2026). Integration of multi-omics and machine learning to identify core genes in PANoptosisof lung adenocarcinoma and their mechanisms in the tumor microenvironment and therapeutic potential. Naunyn-Schmiedeberg's archives of pharmacology, 399(9), 13873. https://doi.org/10.1007/s00210-026-05251-7
Chicago Style (17th ed.) CitationZ, Chen, Deng X, Yu Y, Zhang T, and Liu C. "Integration of Multi-omics and Machine Learning to Identify Core Genes in PANoptosisof Lung Adenocarcinoma and Their Mechanisms in the Tumor Microenvironment and Therapeutic Potential." Naunyn-Schmiedeberg's Archives of Pharmacology 399, no. 9 (2026): 13873. https://doi.org/10.1007/s00210-026-05251-7.
MLA (9th ed.) CitationZ, Chen, et al. "Integration of Multi-omics and Machine Learning to Identify Core Genes in PANoptosisof Lung Adenocarcinoma and Their Mechanisms in the Tumor Microenvironment and Therapeutic Potential." Naunyn-Schmiedeberg's Archives of Pharmacology, vol. 399, no. 9, 2026, p. 13873, https://doi.org/10.1007/s00210-026-05251-7.