APA (7th ed.) Citation

Yuwattana, W., Saeliw, T., van Erp, M. L., Poolcharoen, C., Kanlayaprasit, S., Trairatvorakul, P., . . . Sarachana, T. (2025). Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles. Scientific Reports, 15(1), 1. https://doi.org/10.1038/s41598-025-95291-5

Chicago Style (17th ed.) Citation

Yuwattana, Wasana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, and Tewarit Sarachana. "Machine Learning of Clinical Phenotypes Facilitates Autism Screening and Identifies Novel Subgroups with Distinct Transcriptomic Profiles." Scientific Reports 15, no. 1 (2025): 1. https://doi.org/10.1038/s41598-025-95291-5.

MLA (9th ed.) Citation

Yuwattana, Wasana, et al. "Machine Learning of Clinical Phenotypes Facilitates Autism Screening and Identifies Novel Subgroups with Distinct Transcriptomic Profiles." Scientific Reports, vol. 15, no. 1, 2025, p. 1, https://doi.org/10.1038/s41598-025-95291-5.