Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Lichuan Gu"'
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract CircRNAs are a type of circular non-coding RNA whose associations with drug sensitivities have been demonstrated in recent studies. Due to the high cost of biomedical experiments for detecting the associations between circRNAs and drug sensi
Externí odkaz:
https://doaj.org/article/8ac5e609ef494abeb8e3dace9e24c526
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Survival risk prediction models have become important tools for clinicians to improve cancer treatment decisions. In the medical field, using gene expression data to build deep survival neural network models significantly improves accurate s
Externí odkaz:
https://doaj.org/article/ae7210bfef7f40c8b8bfee64e97a1eff
Autor:
Min Chen, Ye Shang, Wenhao Cui, Xiaomeng Wang, Jiakun Zhu, Hongjie Dong, Hongwei Wang, Tiantian Su, Weiwei Wang, Kundi Zhang, Bingqing Li, Sujuan Xu, Wei Hu, Fengyu Zhang, Lichuan Gu
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Colonizing in the gastrointestinal tract, Escherichia coli confronts diverse acidic challenges and evolves intricate acid resistance strategies for its survival. The lysine-mediated decarboxylation (Cad) system, featuring lysine decarboxylas
Externí odkaz:
https://doaj.org/article/0bbb997605944864a061e23515438c3b
Autor:
Hongjie Dong, Junmei Zhang, Kundi Zhang, Fengyu Zhang, Shuai Wang, Qi Wang, Chao Xu, Kun Yin, Lichuan Gu
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Overgrowth of Gardnerella vaginalis causes an imbalance in vaginal microecology. The pathogenicity of G. vaginalis is directly regulated by the cAMP receptor protein (CRP). In this study, we resolve the crystal structure of CRPGv at a resolu
Externí odkaz:
https://doaj.org/article/42b48a286e9f42d894069f3f44831f95
Autor:
Maofeng Wang, Cancan Wu, Nan Liu, Xiaoqiong Jiang, Hongjie Dong, Shubao Zhao, Chaonan Li, Sujuan Xu, Lichuan Gu
Publikováno v:
Engineering Microbiology, Vol 4, Iss 3, Pp 100162- (2024)
The coronavirus disease 2019 (COVID-19) pandemic has highlighted the importance of developing novel vaccines. An ideal vaccine should trigger an intense immune reaction without causing significant side effects. In this study we found that substitutio
Externí odkaz:
https://doaj.org/article/3db268dbba0c4a15a249185e1b77705d
Publikováno v:
Biology, Vol 13, Iss 10, p 777 (2024)
N6-methyladenosine (m6A) plays a crucial regulatory role in the control of cellular functions and gene expression. Recent advances in sequencing techniques for transcriptome-wide m6A mapping have accelerated the accumulation of m6A site information a
Externí odkaz:
https://doaj.org/article/17548497ab5b4e818b662ed7ac46129c
Autor:
Guohao Lv, Yingchun Xia, Zhao Qi, Zihao Zhao, Lianggui Tang, Cheng Chen, Shuai Yang, Qingyong Wang, Lichuan Gu
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract LncRNA–protein interactions are ubiquitous in organisms and play a crucial role in a variety of biological processes and complex diseases. Many computational methods have been reported for lncRNA–protein interaction prediction. However,
Externí odkaz:
https://doaj.org/article/53b34255df0b474c9b02e15d8dc957bb
Autor:
Yong Sun, Hongbo Zheng, Lilin Qian, Yue Liu, Deyu Zhu, Zejun Xu, Wenqiang Chang, Jianwei Xu, Lei Wang, Bin Sun, Lichuan Gu, Huiqing Yuan, Hongxiang Lou
Publikováno v:
JACS Au, Vol 3, Iss 10, Pp 2749-2762 (2023)
Externí odkaz:
https://doaj.org/article/26387cbc13ab4f45b1b492c6408d4ba3
Publikováno v:
Sensors, Vol 24, Iss 16, p 5173 (2024)
In order to solve the problem of difficult separation of audio signals collected in pig environments, this study proposes an underdetermined blind source separation (UBSS) method based on sparsification theory. The audio signals obtained by mixing th
Externí odkaz:
https://doaj.org/article/f785e9bfaa55455ab2628359f9992bab
Autor:
Tao Wang, Kunming Zhang, Wu Zhang, Ruiqing Wang, Shengmin Wan, Yuan Rao, Zhaohui Jiang, Lichuan Gu
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 2, Pp 267-275 (2023)
The accurate identification, detection, and segmentation of tea buds and leaves are important factors for realizing intelligent tea picking. A tea picking point location method based on the region-based convolutional neural network(R-CNN) Mask- RCNN
Externí odkaz:
https://doaj.org/article/34eb0db9b90d434daf2d861ba5de33d8