APA (7th ed.) Citation

S, I., T, S., H, N., A, T., & K, S. (2026). Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence. Legal medicine (Tokyo, Japan), 84, 102889. https://doi.org/10.1016/j.legalmed.2026.102889

Chicago Style (17th ed.) Citation

S, Inokuchi, Satoh T, Nakanishi H, Takada A, and Saito K. "Interpretable Machine Learning Models for Predicting Incestuous Relationships from Short Tandem Repeat Profiles in Sexual Assault-related Pregnancies for Forensic Intelligence." Legal Medicine (Tokyo, Japan) 84 (2026): 102889. https://doi.org/10.1016/j.legalmed.2026.102889.

MLA (9th ed.) Citation

S, Inokuchi, et al. "Interpretable Machine Learning Models for Predicting Incestuous Relationships from Short Tandem Repeat Profiles in Sexual Assault-related Pregnancies for Forensic Intelligence." Legal Medicine (Tokyo, Japan), vol. 84, 2026, p. 102889, https://doi.org/10.1016/j.legalmed.2026.102889.