Namba, S., Li, C., Yuyama Otani, N., & Yamanishi, Y. (2025). SSL-VQ: Vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases. Bioinformatics (Oxford, England), 41(2), . https://doi.org/10.1093/bioinformatics/btaf039
Citace podle Chicago (17th ed.)Namba, Satoko, Chen Li, Noriko Yuyama Otani, a Yoshihiro Yamanishi. "SSL-VQ: Vector-quantized Variational Autoencoders for Semi-supervised Prediction of Therapeutic Targets Across Diverse Diseases." Bioinformatics (Oxford, England) 41, no. 2 (2025). https://doi.org/10.1093/bioinformatics/btaf039.
Citace podle MLA (9th ed.)Namba, Satoko, et al. "SSL-VQ: Vector-quantized Variational Autoencoders for Semi-supervised Prediction of Therapeutic Targets Across Diverse Diseases." Bioinformatics (Oxford, England), vol. 41, no. 2, 2025, https://doi.org/10.1093/bioinformatics/btaf039.