Zobrazeno 1 - 10
of 391
pro vyhledávání: '"Song, Yipeng"'
Autor:
Zhang, Wei, Wei, Jialu, Zhou, Yixuan, Mao, Yuezhen, Antonio Alonso, José, López, Carlos A., Teresa Fernández-Diaz, Maria, Song, Yipeng, Ma, Xuelu, Sun, Chunwen
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Autor:
Yu, Jiayi, Jiang, Leilei, Zhao, Lina, Yang, Xue, Wang, Xiaomin, Yang, Dan, Zhuo, Minglei, Chen, Hanxiao, Huang, Wei, Zhu, Zhengfei, Zhang, Min, Song, Yipeng, Li, Quanfu, Ma, Zhanshu, Wang, Qifeng, Qu, Yanli, Yu, Rong, Yu, Huiming, Chu, Li, Bai, Yun, Zhao, Yidian, Luo, Jinghua, Chen, WenLi, Gu, Tao, Liu, Shixin, Yang, Jun, Wu, Yiqun, Zhao, Jun, Shi, Anhui
Publikováno v:
In The Lancet Respiratory Medicine October 2024 12(10):799-809
Publikováno v:
In International Journal of Heat and Mass Transfer January 2025 236 Part 1
Autor:
Li, Yutong, Song, Yipeng, Sui, Jie, Greiner, Russell, Li, Xin-min, Greenshaw, Andrew J., Liu, Yang S., Cao, Bo
Publikováno v:
In Journal of Affective Disorders 15 July 2024 357:148-155
Akademický článek
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Autor:
Song, Yipeng, Qian, Lei, Sui, Jie, Greiner, Russell, Li, Xin-min, Greenshaw, Andrew J., Liu, Yang S., Cao, Bo
Publikováno v:
In Journal of Affective Disorders 15 October 2023 339:52-57
Publikováno v:
In Fuel 15 August 2023 346
Autor:
Song, Yipeng
In systems biology, it is common to measure biochemical entities at different levels of the same biological system. One of the central problems for the data fusion of such data sets is the heterogeneity of the data. This thesis discusses two types of
Externí odkaz:
http://arxiv.org/abs/1908.09653
Autor:
Smilde, Age K., Song, Yipeng, Westerhuis, Johan A., Kiers, Henk A. L., Aben, Nanne, Wessels, Lodewyk F. A.
In systems biology, it is becoming increasingly common to measure biochemical entities at different levels of the same biological system. Hence, data fusion problems are abundant in the life sciences. With the availability of a multitude of measuring
Externí odkaz:
http://arxiv.org/abs/1904.10279
Publikováno v:
Chemometrics and Intelligent Laboratory Systems 204 (2020) 104089
Multivariate binary data is becoming abundant in current biological research. Logistic principal component analysis (PCA) is one of the commonly used tools to explore the relationships inside a multivariate binary data set by exploiting the underlyin
Externí odkaz:
http://arxiv.org/abs/1902.09486