Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anjing Fan"'
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284274 (2023)
Identifying key proteins from protein-protein interaction (PPI) networks is one of the most fundamental and important tasks for computational biologists. However, the protein interactions obtained by high-throughput technology are characterized by a
Externí odkaz:
https://doaj.org/article/7d4d993b04e64991bc45fb7487d137ad
Autor:
Zhe Zhan, Anjing Fan
Publikováno v:
Sustainability; Volume 14; Issue 24; Pages: 16438
To promote the sustainable development of early childhood education (ECE) in undeveloped rural areas of China, it is vital to guarantee high-quality equity for all children from disadvantaged backgrounds. Focusing on analyzing the efficacy of the Chi
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16:1997-2008
Reconstructing large-scale gene regulatory networks (GRNs) is a challenging problem in the field of computational biology. Various methods for inferring GRNs have been developed, but they fail to accurately infer GRNs with a large number of genes. Ad
Publikováno v:
J Virol
Respiratory syncytial virus (RSV) is the most important cause of lower respiratory tract infection in infants and young children. The vaccine-enhanced disease (VED) has greatly hindered the development of an RSV vaccine. Currently, there are no licen
Publikováno v:
Soft Computing. 20:4813-4824
Test-cost-sensitive attribute reduction is an important component in data mining applications, and plays a key role in cost-sensitive learning. Some previous approaches in test-cost-sensitive attribute reduction focus mainly on homogeneous datasets.
Publikováno v:
Rough Sets and Knowledge Technology ISBN: 9783319117393
RSKT
RSKT
The minimal test cost attribute reduction is an important component in data mining applications, and plays a key role in cost-sensitive learning. Recently, several algorithms are proposed to address this problem, and can get acceptable results in mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::516b0d8211219c87a6f74b1890992a74
https://doi.org/10.1007/978-3-319-11740-9_10
https://doi.org/10.1007/978-3-319-11740-9_10
Publikováno v:
Journal of Virology. Jul2020, Vol. 94 Issue 13, p1-14. 14p.