APA (7th ed.) Citation

Zhou, X., Tan, F., Zhang, S., & Zhang, T. (2023). Combining single-cell RNA sequencing data and transcriptomic data to unravel potential mechanisms and signature genes of the progression of idiopathic pulmonary fibrosis to lung adenocarcinoma and predict therapeutic agents. Functional & integrative genomics, 23(4), 346. https://doi.org/10.1007/s10142-023-01274-y

Chicago Style (17th ed.) Citation

Zhou, Xianqiang, Fang Tan, Suxian Zhang, and Tiansong Zhang. "Combining Single-cell RNA Sequencing Data and Transcriptomic Data to Unravel Potential Mechanisms and Signature Genes of the Progression of Idiopathic Pulmonary Fibrosis to Lung Adenocarcinoma and Predict Therapeutic Agents." Functional & Integrative Genomics 23, no. 4 (2023): 346. https://doi.org/10.1007/s10142-023-01274-y.

MLA (9th ed.) Citation

Zhou, Xianqiang, et al. "Combining Single-cell RNA Sequencing Data and Transcriptomic Data to Unravel Potential Mechanisms and Signature Genes of the Progression of Idiopathic Pulmonary Fibrosis to Lung Adenocarcinoma and Predict Therapeutic Agents." Functional & Integrative Genomics, vol. 23, no. 4, 2023, p. 346, https://doi.org/10.1007/s10142-023-01274-y.