You, X.; Shu, Y.; Ni, X.; Lv, H.; Luo, J.; Tao, J.; Bai, G.; Feng, S.
MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage. Horticulturae 2025, 11, 44.
https://doi.org/10.3390/horticulturae11010044
AMA Style
You X, Shu Y, Ni X, Lv H, Luo J, Tao J, Bai G, Feng S.
MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage. Horticulturae. 2025; 11(1):44.
https://doi.org/10.3390/horticulturae11010044
Chicago/Turabian Style
You, Xiong, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, and Shusu Feng.
2025. "MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage" Horticulturae 11, no. 1: 44.
https://doi.org/10.3390/horticulturae11010044
APA Style
You, X., Shu, Y., Ni, X., Lv, H., Luo, J., Tao, J., Bai, G., & Feng, S.
(2025). MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage. Horticulturae, 11(1), 44.
https://doi.org/10.3390/horticulturae11010044