Shen, J., Wang, S., Sun, H., Huang, J., Lu, B., Wang, X., Dong, Y., & Tang, Z. [ca. 2024]. A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data [Cd]. Freiburg: Universität. https://doi.org/10.1186/s12874-024-02232-3
ISO-690 (author-date, English)SHEN, Junjie, WANG, Shuo, SUN, Hao, HUANG, Jie, LU, Bai, WANG, Xichao, DONG, Yongfei und TANG, Zaixiang, 2024. A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data. Freiburg: Universität.
Modern Language Association 9th editionShen, J., S. Wang, H. Sun, J. Huang, B. Lu, X. Wang, Y. Dong, und Z. Tang. A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data. cd, Universität, 2024, https://doi.org/10.1186/s12874-024-02232-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Shen, Junjie/Wang, Shuo/Sun, Hao/Huang, Jie/Lu, Bai/Wang, Xichao u. a.: A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data, Freiburg 2024.
Emerald - HarvardShen, J., Wang, S., Sun, H., Huang, J., Lu, B., Wang, X., Dong, Y. und Tang, Z. (2024), A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1186/s12874-024-02232-3.