APA (7th ed.) Citation

Shi, J., Wang, Z., Bai, Y., Li, S., Zhang, X., Liu, T., . . . Wang, J. (2025). Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data. Congenital Heart Disease, 20(2), 213. https://doi.org/10.32604/chd.2025.064950

Chicago Style (17th ed.) Citation

Shi, Jiawei, et al. "Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data." Congenital Heart Disease 20, no. 2 (2025): 213. https://doi.org/10.32604/chd.2025.064950.

MLA (9th ed.) Citation

Shi, Jiawei, et al. "Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data." Congenital Heart Disease, vol. 20, no. 2, 2025, p. 213, https://doi.org/10.32604/chd.2025.064950.