A multi-task deep learning model based on comprehensive feature integration and self-attention mechanism for predicting response to anti-PD1/PD-L1.

MLA

Wang, Ren, et al. “A Multi-Task Deep Learning Model Based on Comprehensive Feature Integration and Self-Attention Mechanism for Predicting Response to Anti-PD1/PD-L1.” International Immunopharmacology, vol. 142, no. Pt A, Dec. 2024, p. 113099. EBSCOhost, https://doi.org/10.1016/j.intimp.2024.113099.

APA

Wang, R., Liu, Q., You, W., & Chen, Y. (2024). A multi-task deep learning model based on comprehensive feature integration and self-attention mechanism for predicting response to anti-PD1/PD-L1. International Immunopharmacology, 142(Pt A), 113099. https://doi.org/10.1016/j.intimp.2024.113099

Chicago

Wang, Ren, Qiumei Liu, Wenhua You, and Yun Chen. 2024. “A Multi-Task Deep Learning Model Based on Comprehensive Feature Integration and Self-Attention Mechanism for Predicting Response to Anti-PD1/PD-L1.” International Immunopharmacology 142 (Pt A): 113099. doi:10.1016/j.intimp.2024.113099.