APA (7th ed.) Citation

Wu, K., Zhao, Z., Wang, R., & Wei, G. (2018). TopP–S: Persistent homology‐based multi‐task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility. Journal of computational chemistry, 39(20), 1444-1454. https://doi.org/10.1002/jcc.25213

Chicago Style (17th ed.) Citation

Wu, Kedi, Zhixiong Zhao, Renxiao Wang, and Guo‐Wei Wei. "TopP–S: Persistent Homology‐based Multi‐task Deep Neural Networks for Simultaneous Predictions of Partition Coefficient and Aqueous Solubility." Journal of Computational Chemistry 39, no. 20 (2018): 1444-1454. https://doi.org/10.1002/jcc.25213.

MLA (9th ed.) Citation

Wu, Kedi, et al. "TopP–S: Persistent Homology‐based Multi‐task Deep Neural Networks for Simultaneous Predictions of Partition Coefficient and Aqueous Solubility." Journal of Computational Chemistry, vol. 39, no. 20, 2018, pp. 1444-1454, https://doi.org/10.1002/jcc.25213.