Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Tianheng Zhao"'
Autor:
Alicja Dabrowska, George R. Lewis, Minaleshewa Atlabachew, Susannah J. Salter, Cassi Henderson, Chang Ji, Annike Ehlers, Julian Stirling, Sophie Mower, Lara Allen, Elizabeth Lay, Kara Stuart, Lisa Appavou, Richard Bowman, Tianheng Zhao, Nalin Patel, Alexander Patto, Mark A. Holmes, Jeremy J. Baumberg, Sammy Mahdi
Publikováno v:
npj Clean Water, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Increasing access to water quality tests in low-income communities is a crucial strategy toward achieving global water equality. Recent studies in the Water Sanitation and Hygiene (WASH) sector underscore the importance of addressing practic
Externí odkaz:
https://doaj.org/article/b17c7886b3a542adbbabad9ef97406cf
Publikováno v:
Forests, Vol 15, Iss 8, p 1348 (2024)
The distribution pattern and influencing factors of specific species diversity play a crucial role in decision-making for biodiversity conservation. Identifying suitable regional habitat indicators to assess specific species diversity patterns is a g
Externí odkaz:
https://doaj.org/article/1afa667d51844744a430dc0ef7295a28
Publikováno v:
Biology Bulletin; Oct2024, Vol. 51 Issue 5, p1213-1220, 8p
Publikováno v:
Forests, Vol 14, Iss 12, p 2357 (2023)
The Southwest Alpine Canyon Area (SACA), a well-known ecological vulnerability region, plays a very important role in China. Identifying the driving force of the spatial heterogeneity of vegetation and the response of interannual vegetation changes t
Externí odkaz:
https://doaj.org/article/c353bbd151974200a3fcaa6a641c5b18
Autor:
Haowu Chang, Hao Zhang, Tianyue Zhang, Lingtao Su, Qing-Ming Qin, Guihua Li, Xueqing Li, Li Wang, Tianheng Zhao, Enshuang Zhao, Hengyi Zhao, Yuanning Liu, Gary Stacey, Dong Xu
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Although growing evidence shows that microRNA (miRNA) regulates plant growth and development, miRNA regulatory networks in plants are not well understood. Current experimental studies cannot characterize miRNA regulatory networks on a large scale. Th
Externí odkaz:
https://doaj.org/article/c99fa18649944813a3bbca26e76430e7
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Studies have found that pathogenic fungi and plants have sRNA transboundary regulation mechanisms. However, no researchers have used computer methods to carry out comprehensive studies on whether there is a more remarkable similarity in the transboun
Externí odkaz:
https://doaj.org/article/16ce35de29b646c8a4bb1b2414551505
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Studies have shown that fungi cause plant diseases through cross-species RNA interference mechanism (RNAi) and secreted protein infection mechanism. The small RNAs (sRNAs) of Magnaporthe oryzae use the RNAi mechanism of rice to realize the infection
Externí odkaz:
https://doaj.org/article/c817b180e4b54eb6ac6d1f207e3fbe1d
Funder: Winton Programme for the Physics of Sustainability (PhD scholarship)
When pursuing sustainable approaches to fabricate photonic structures, nature can be used as a source of inspiration for both the nanoarchitecture and the constituent m
When pursuing sustainable approaches to fabricate photonic structures, nature can be used as a source of inspiration for both the nanoarchitecture and the constituent m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bdf2f00c667baf9ce0afbc70e9a8a1f
https://www.repository.cam.ac.uk/handle/1810/338032
https://www.repository.cam.ac.uk/handle/1810/338032
GAEBic: A Novel Biclustering Analysis Method for miRNA-Targeted Gene Data Based on Graph Autoencoder
Autor:
Tianyue Zhang, Qing-Ming Qin, Bo-Rui Zhang, Xue-Qing Li, Hao Zhang, Li Wang, Hao-Wu Chang, Tianheng Zhao
Publikováno v:
Journal of Computer Science and Technology. 36:299-309
Unlike traditional clustering analysis, the biclustering algorithm works simultaneously on two dimensions of samples (row) and variables (column). In recent years, biclustering methods have been developed rapidly and widely applied in biological data
Autor:
Yiling Fang, Tianheng Zhao, Haibo Ni, Yajun Li, Yongkui Zhu, Rong Gao, Li Zhang, Zhenyu Jia, Gang Chen
Publikováno v:
Brain Research. 1807:148321