Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Jingyang GAO"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 549-558 (2024)
Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology that quantifies gene expression profiles of specific cell populations at the single-cell level, providing a foundation for studying cellular heterogeneity and patient p
Externí odkaz:
https://doaj.org/article/316556d8421040f58c03bfb9981e0539
Autor:
Yunxia Song, Peipei Ma, Jingyang Gao, Chaopei Dong, Zhao Wang, Yifan Luan, Jiafa Chen, Doudou Sun, Pei Jing, Xuecai Zhang, Weibin Song, Zijian Zhou, Jianyu Wu
Publikováno v:
Crop Journal, Vol 12, Iss 3, Pp 836-844 (2024)
Maize seedling blight caused by Fusarium verticillioides is a widely occurring maize disease, but the genetics and mechanisms of resistance are not well understood. In this study, GWAS performed by MLM and 3VmrMLM identified 40 and 20 QTNs, associate
Externí odkaz:
https://doaj.org/article/71a676fdcffa4da29554353b3d18d2cb
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Hepatitis B virus (HBV) integrates into human chromosomes and can lead to genomic instability and hepatocarcinogenesis. Current tools for HBV integration site detection lack accuracy and stability. Results This study proposes a de
Externí odkaz:
https://doaj.org/article/485521c703d74116a8a07062ee2ab51b
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background The hippocampus is a key area of the brain responsible for learning, memory, and other abilities. Accurately segmenting the hippocampus and precisely calculating the volume of the hippocampus is of great significance for predictin
Externí odkaz:
https://doaj.org/article/caeb1b93cac84bfab297e752ef2b2091
Autor:
Changdan XU, Xiaohong XU, Weipeng SHAO, Hongliang SUN, Xiaohong LIU, Hongxiang FENG, Xianbo ZUO, Jingyang GAO, Guohui WANG, Xiongtao YANG, Runchuan GU, Shutong GE, Shijie WANG, Liwei GAO, Guangying ZHU
Publikováno v:
Chinese Journal of Lung Cancer, Vol 26, Iss 6, Pp 449-460 (2023)
Background and objective Low-density computed tomography (LDCT) improved early lung cancer diagnosis but introduces an excess of false-positive pulmonary nodules data. Hence, accurate diagnosis of early-stage lung cancer remains challenging. The purp
Externí odkaz:
https://doaj.org/article/386f38207981411d9062f15fc278fa33
Autor:
Xin Wen, Bin Su, Mingming Gao, Jiaqi Chen, Donglei Zhou, Hui You, Nannan Li, Shuaikang Chang, Xiaoyun Cheng, Chunhua Qian, Jingyang Gao, Peng Yang, Shen Qu, Le Bu
Publikováno v:
Cell Death and Disease, Vol 14, Iss 3, Pp 1-4 (2023)
Externí odkaz:
https://doaj.org/article/a010363e939742048d19650a707fe87c
Autor:
Chunyan Li, Xiaozhuo Wang, Jianhao Wu, Jingyang Gao, Rixu Zhao, Sasa Xia, Hua Yang, Zhi Chen, Lan Li, Wen Wang
Publikováno v:
Ultrasonics Sonochemistry, Vol 99, Iss , Pp 106584- (2023)
The photocatalytic technique has drawn far-ranging interests in addressing the current issues; however, its property suffers from the limited visible light response and rapid recombination of carriers. To address these issues, two specific approaches
Externí odkaz:
https://doaj.org/article/cbf4a5cf153a4951b3949eb73982a915
Publikováno v:
Polymers, Vol 15, Iss 21, p 4294 (2023)
In this study, we conducted research on the preparation of aerogels using cellulose and starch as the primary materials, with the addition of N,N′-methylenebisacrylamide (MBA) as a cross-linking agent. The chemical, morphological and textural chara
Externí odkaz:
https://doaj.org/article/a075db4476534382a75ad72d309adc33
Autor:
Yiming Sun, Hong Li, Shuo Lei, Kirk T. Semple, Frederic Coulon, Qing Hu, Jingyang Gao, Guanlin Guo, Qingbao Gu, Kevin C. Jones
Publikováno v:
Eco-Environment & Health, Vol 1, Iss 2, Pp 63-72 (2022)
Rapid urbanisation in China has resulted in an increased demand for land in towns and cities. To upgrade and modernise, China has also moved many major industries from urban centres to less populated areas. With the high economic value of urban land,
Externí odkaz:
https://doaj.org/article/ba88afb88a464c06b479bc73417b7f7e
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Abstract Background Single-cell sequencing technology can address the amount of single-cell library data at the same time and display the heterogeneity of different cells. However, analyzing single-cell data is a computationally challenging problem.
Externí odkaz:
https://doaj.org/article/43a6680d0b5243bdb1c72a2055446b57