Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Haijiang Jin"'
Publikováno v:
Cell Communication and Signaling, Vol 21, Iss 1, Pp 1-15 (2023)
Abstract Background and objectives Phenotypic switching in vascular smooth muscle cells (VSMCs) has been linked to aortic aneurysm, but the phenotypic landscape in aortic aneurysm is poorly understood. The present study aimed to analyse the phenotypi
Externí odkaz:
https://doaj.org/article/8ecbe3ec9baa419fa715a0b10402e1ac
Publikováno v:
Cell Communication and Signaling, Vol 20, Iss 1, Pp 1-22 (2022)
Abstract Vascular smooth muscle cells (VSMCs) are the most abundant cell in vessels. Earlier experiments have found that VSMCs possess high plasticity. Vascular injury stimulates VSMCs to switch into a dedifferentiated type, also known as synthetic V
Externí odkaz:
https://doaj.org/article/0d09655455d34b80927da70a7a7a732a
Publikováno v:
IEEE Access, Vol 8, Pp 34398-34406 (2020)
The link prediction can be used to seek missing or future links in the network, so it has become a hot research topic. The network generally contains two types of information: the topological structure of network formed by the connection between node
Externí odkaz:
https://doaj.org/article/90cab69e21a94eb59c91542d4ad65ca3
Publikováno v:
IEEE Access, Vol 8, Pp 57136-57147 (2020)
Network representation learning is proposed to make it easier to perform complex inference processes on large-scale networks. It aims to represent each node in the network as a low-dimensional potential representation while preserving the structure a
Externí odkaz:
https://doaj.org/article/a1a121f6a44942c99cc995a949801a61
Publikováno v:
Applied Intelligence. 52:3545-3558
Link prediction is a fundamental problem in biological network analysis, personalized recommendation, network evolution modeling, etc. It aims at discovering links in the network that are unknown, missing, or will be formed in the future. Network rep
Publikováno v:
Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery. 28(13)
Publikováno v:
Procedia Environmental Sciences; Nov2010, Vol. 2, p386-398, 13p