Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yibiao Huang"'
Publikováno v:
Shipin gongye ke-ji, Vol 43, Iss 3, Pp 260-267 (2022)
In order to explore the quality differences between Meizhan black tea and Meizhan white tea, Meizhan fresh leaves were used as raw materials to process black tea and white tea, and sensory quality evaluation and physicochemical analysis were carried
Externí odkaz:
https://doaj.org/article/306b0e2b34b44250ac3a649b16fb4bd9
Publikováno v:
Mitochondrial DNA. Part B. Resources, Vol 7, Iss 4, Pp 655-657 (2022)
Wuyi tea (Camellia. sinensis, Synonym: Thea Bohea L.) is recognized as the most prestigious oolong tea in China. For germplasm identification and protection, the complete chloroplast genomes of five classical Wuyi tea varieties were determined by nex
Externí odkaz:
https://doaj.org/article/76890862a5ca4e1c8d877e0874b6a7b7
Publikováno v:
Foods, Vol 12, Iss 13, p 2433 (2023)
Tea (Camellia sinensis) is one of the most popular beverages worldwide. Many types of tea products continuously emerge in an endless stream; so, the classification of tea becomes more difficult. Aroma is a vital indicator of tea quality. The present
Externí odkaz:
https://doaj.org/article/a3610e0854754042b131dc55db472007
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Abstract Background Identifying miRNA and disease associations helps us understand disease mechanisms of action from the molecular level. However, it is usually blind, time-consuming, and small-scale based on biological experiments. Hence, developing
Externí odkaz:
https://doaj.org/article/eb5fe7d1c2c8489fbf30291f9c104105
Publikováno v:
Foods; Volume 12; Issue 13; Pages: 2433
Tea (Camellia sinensis) is one of the most popular beverages worldwide. Many types of tea products continuously emerge in an endless stream; so, the classification of tea becomes more difficult. Aroma is a vital indicator of tea quality. The present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::f6a058df1ce895bcc167466404dec413
Publikováno v:
Bioinformatics. 38:1118-1125
Motivation Accumulated clinical studies show that microbes living in humans interact closely with human hosts, and get involved in modulating drug efficacy and drug toxicity. Microbes have become novel targets for the development of antibacterial age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddbc5ee518e944af4d94b4d9afcbac03
https://doi.org/10.1093/bioinformatics/btab792
https://doi.org/10.1093/bioinformatics/btab792
Autor:
Shuxian Shao, Mengting Xu, Xiansheng Liao, Qin Luo, Yanping Lin, Pengjie Wang, Deyin Fang, Yibiao Huang, Shan Jin, Naixing Ye
Publikováno v:
Food Research International. 165:112522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666c9793e504e0dd204ebe5ec9ad3909
https://doi.org/10.1016/j.foodres.2023.112522
https://doi.org/10.1016/j.foodres.2023.112522
Motivation Accurate and efficient prediction of the molecular property is one of the fundamental problems in drug research and development. Recent advancements in representation learning have been shown to greatly improve the performance of molecular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b524c30c9521be0572324d2b6ef629e
https://doi.org/10.1101/2022.05.08.491075
https://doi.org/10.1101/2022.05.08.491075
Autor:
Xia Zhu, Lingna Ye, Xiang Gao, Kang Chao, Pinjin Hu, Caibin Zhang, Jian Tang, Qian Cao, Qingfan Yang, Yibiao Huang, Huili Guo, Min Huang, Lang Lin, Jie Huang, Miao Li, Xueding Wang
Publikováno v:
Alimentary pharmacologytherapeuticsREFERENCES. 54(9)
INTRODUCTION Thiopurine S-methyltransferase (TPTM) is a well known biomarker for thiopurine-induced leucopenia, which has limited value in Asia. Instead, NUDT15 C415T is a promising predictor in Asia. AIMS To explore whether an optimised strategy bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94bea7f2b4109cedf373ca29a856bf83
https://pubmed.ncbi.nlm.nih.gov/35092053
https://pubmed.ncbi.nlm.nih.gov/35092053
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Background Identifying miRNA and disease associations helps us understand disease mechanisms of action from the molecular level. However, it is usually blind, time-consuming, and small-scale based on biological experiments. Hence, developing computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6925a2527a632c23f9b79bc55e01492
http://europepmc.org/articles/PMC8082881
http://europepmc.org/articles/PMC8082881