iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.

MLA

Yuan, Lin, et al. “ICircDA-NEAE: Accelerated Attribute Network Embedding and Dynamic Convolutional Autoencoder for CircRNA-Disease Associations Prediction.” PLoS Computational Biology, vol. 19, no. 8, Aug. 2023, p. e1011344. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1011344.

APA

Yuan, L., Zhao, J., Shen, Z., Zhang, Q., Geng, Y., Zheng, C.-H., & Huang, D.-S. (2023). iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. PLoS Computational Biology, 19(8), e1011344. https://doi.org/10.1371/journal.pcbi.1011344

Chicago

Yuan, Lin, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, and De-Shuang Huang. 2023. “ICircDA-NEAE: Accelerated Attribute Network Embedding and Dynamic Convolutional Autoencoder for CircRNA-Disease Associations Prediction.” PLoS Computational Biology 19 (8): e1011344. doi:10.1371/journal.pcbi.1011344.