Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Yanyan, Mao"'
Autor:
Liping Guo, Dongli Lian, Yuchen Gu, Xiaoyu Lu, Ying Zhang, Xiaohe Li, Tatyana Aleksandrovna Khrustaleva, Jianfeng Lan, Yanhua Liang, Vladislav Victorovich Khrustalev, Yanyan Mao, Yafan Chen, Hongzhou Lu, Jing Yuan
Publikováno v:
hLife, Vol 2, Iss 8, Pp 397-418 (2024)
Inborn errors of the signal transducer and activator of transcription 1 (STAT1) result in four types of immunodeficiency disease with varying degrees of impaired STAT1 function: autosomal recessive (AR) complete STAT1 deficiency, AR partial STAT1 def
Externí odkaz:
https://doaj.org/article/86be93435871497f9276c4e2f263ba3b
Autor:
Junwei Liu, Weiqiang Zhu, Lingjin Xia, Qianxi Zhu, Yanyan Mao, Yupei Shen, Min Li, Zhaofeng Zhang, Jing Du
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionCapping actin protein, gelsolin-like (CAPG) is a potential therapeutic target in various cancers. However, the potential immunotherapeutic effects and prognostic value of CAPG in uterine corpus endometrial carcinoma (UCEC) remain unclear.
Externí odkaz:
https://doaj.org/article/0307f7c0812648788c58f6dd0525533a
Autor:
Dapeng Cheng, Jiale Gai, Bo Yang, Yanyan Mao, Xiaolian Gao, Baosheng Zhang, Wanting Jing, Jia Deng, Feng Zhao, Ning Mao
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37338- (2024)
Due to significant anatomical variations in medical images across different cases, medical image segmentation is a highly challenging task. Convolutional neural networks have shown faster and more accurate performance in medical image segmentation. H
Externí odkaz:
https://doaj.org/article/32b4cde05fa84a2dbc28c8258f26b126
Publikováno v:
IET Computer Vision, Vol 18, Iss 1, Pp 46-59 (2024)
Abstract Most Siamese‐based trackers use classification and regression to determine the target bounding box, which can be formulated as a linear matching process of the template and search region. However, this only takes into account the similarit
Externí odkaz:
https://doaj.org/article/053e64ea7b9c4f9ea26c647ec0a00385
Autor:
Cheng, Dapeng, Deng, Jia, Xiao, Jinjie, Yanyan, Mao, Kang, Jialong, Gai, Jiale, Zhang, Baosheng, Zhao, Feng
Publikováno v:
In Heliyon 30 July 2024 10(14)
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-24 (2023)
Abstract Background A major current focus in the analysis of protein–protein interaction (PPI) data is how to identify essential proteins. As massive PPI data are available, this warrants the design of efficient computing methods for identifying es
Externí odkaz:
https://doaj.org/article/51fb482470344863af1fc5ff7a70d43d
Autor:
Dapeng Cheng, Jiale Gai, Yanyan Mao, Xiaolian Gao, Baosheng Zhang, Wanting Jing, Jia Deng, Feng Zhao, Ning Mao
Publikováno v:
Heliyon, Vol 9, Iss 12, Pp e22663- (2023)
Accurate segmentation of skin lesions is a challenging task because the task is highly influenced by factors such as location, shape and scale. In recent years, Convolutional Neural Networks (CNNs) have achieved advanced performance in automated medi
Externí odkaz:
https://doaj.org/article/1d8d9208aab04bd9966f0433c0540dd3
Autor:
Dapeng Cheng, Xiaolian Gao, Yanyan Mao, Baozhen Xiao, Panlu You, Jiale Gai, Minghui Zhu, Jialong Kang, Feng Zhao, Ning Mao
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22536- (2023)
Background: Statistics show that each year more than 100,000 patients pass away from brain tumors. Due to the diverse morphology, hazy boundaries, or unbalanced categories of medical data lesions, segmentation prediction of brain tumors has significa
Externí odkaz:
https://doaj.org/article/1a7c01468cec43838f13885270d2589d
Publikováno v:
Reproductive Health, Vol 20, Iss 1, Pp 1-9 (2023)
Abstract Background Maternal folate may not reach an optimal level to prevent neural tube defects if supplementation commenced post-conception or took place pre-conception only. Our study aimed to investigate the continuation of folic acid (FA) suppl
Externí odkaz:
https://doaj.org/article/9af3178393854afea0e8a63a5770e91d
Autor:
Fujia Chen, Xiaoping Fei, Weiqiang Zhu, Zhaofeng Zhang, Yupei Shen, Yanyan Mao, Qianxi Zhu, Jianhua Xu, Weijin Zhou, Min Li, Jing Du
Publikováno v:
Epigenetics, Vol 17, Iss 13, Pp 2109-2121 (2022)
In this study, we investigated the association between altered methylation in the maternal placenta and hyperglycaemia and explored the epigenetic mechanisms underlying gestational diabetes mellitus (GDM). Reduced representation bisulphite sequencing
Externí odkaz:
https://doaj.org/article/da9f798685aa4dcdbce704045bd26d15