Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yilin Lyu"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract In recombinant protein-producing yeast strains, cells experience high production-related stresses similar to high temperatures. It is possible to increase recombinant protein production by enhancing thermotolerance, but few studies have focu
Externí odkaz:
https://doaj.org/article/48a91213c41a4d34a2512a533f7652b7
Autor:
Pingping Wu, Wenjuan Mo, Tian Tian, Kunfeng Song, Yilin Lyu, Haiyan Ren, Jungang Zhou, Yao Yu, Hong Lu
Publikováno v:
mLife, Vol 3, Iss 1, Pp 129-142 (2024)
Abstract Kluyveromyces marxianus is a food‐safe yeast with great potential for producing heterologous proteins. Improving the yield in K. marxianus remains a challenge and incorporating large‐scale functional modules poses a technical obstacle in
Externí odkaz:
https://doaj.org/article/aae96c0d41aa432aaf08c546dd77cd9f
Autor:
Li Wu, Yilin Lyu, Pingping Wu, Tongyu Luo, Junyuan Zeng, Tianfang Shi, Jungang Zhou, Yao Yu, Hong Lu
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2022)
Kluyveromyces marxianus is the fastest-growing eukaryote and a promising host for producing bioethanol and heterologous proteins. To perform a laboratory evolution of thermal tolerance in K. marxianus, diploid, triploid and tetraploid strains were co
Externí odkaz:
https://doaj.org/article/12d1fab172ed41f688b927483659e656
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
In the industrial design industry, innovation and entrepreneurship made by professional and technical talents will become an important trend in the future development of the economy and society. The great changes in the design industry, such as the d
Externí odkaz:
https://doaj.org/article/6954c23241014461be3aba0a003a1b52
Publikováno v:
Science China Information Sciences. 66
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perform feature matching simply using the outputs from backbone for target
Publikováno v:
CVPR
Discovering hidden pattern from imbalanced data is a critical issue in various real-world applications including computer vision. The existing classification methods usually suffer from the limitation of data especially the minority classes, and resu
Autor:
Xinyue, Wang, Liping, Jing, Yilin, Lyu, Mingzhe, Guo, Jiaqi, Wang, Huafeng, Liu, Jian, Yu, Tieyong, Zeng
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-1
Discovering hidden pattern from imbalanced data is a critical issue in various real-world applications. Existing classification methods usually suffer from the limitation of data especially for minority classes, and result in unstable prediction and
Publikováno v:
Biotechnology Journal. 16:2100122
The dairy yeast Kluyveromyces marxianus is a promising cell factory for producing bioethanol and heterologous proteins, as well as a robust synthetic biology platform host, due to its safe status and beneficial traits, including fast growth and therm
Publikováno v:
Knowledge-Based Systems. 228:106604
Imbalance classification is a challenging research topic in the community of machine learning, in which it is difficult to acquire the discriminative features. To date, a series of methods have been proposed but they still suffer from the following i