Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Changnan Gao"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-29 (2023)
Abstract Recently, the development of Low Earth Orbit (LEO) satellites and the advancement of the Mobile Edge Computing (MEC) paradigm have driven the emergence of the Satellite Mobile Edge Computing (Sat-MEC). Sat-MEC has been developed to support c
Externí odkaz:
https://doaj.org/article/788d796e83b042af9029dac6ac726720
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-14 (2022)
Abstract Background Protein-protein interaction (PPI) is very important for many biochemical processes. Therefore, accurate prediction of PPI can help us better understand the role of proteins in biochemical processes. Although there are many methods
Externí odkaz:
https://doaj.org/article/aa0aa95ee5be45b8933452b07e139ad7
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Advancements in single-cell sequencing research have revolutionized our understanding of cellular heterogeneity and functional diversity through the analysis of single-cell transcriptomes and genomes. A crucial step in single-cell RNA sequencing (scR
Externí odkaz:
https://doaj.org/article/5da82a5377aa46b6b986c0f13959f0b8
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Background: Biomedical named entity recognition is one of the important tasks of biomedical literature mining. With the development of natural language processing technology, many deep learning models are used to extract valuable information from the
Externí odkaz:
https://doaj.org/article/e623a9fbb03b4d479cb4be0a85353a9e
Autor:
Xun Wang, Changnan Gao, Peifu Han, Xue Li, Wenqi Chen, Alfonso Rodríguez Patón, Shuang Wang, Pan Zheng
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 2, p 1146 (2023)
Recent years have seen tremendous success in the design of novel drug molecules through deep generative models. Nevertheless, existing methods only generate drug-like molecules, which require additional structural optimization to be developed into ac
Externí odkaz:
https://doaj.org/article/7270cfab5ff24602b8d777e6ba636e54
Autor:
Xue Li, Peifu Han, Wenqi Chen, Changnan Gao, Shuang Wang, Tao Song, Muyuan Niu, Alfonso Rodriguez-Patón
Publikováno v:
Briefings in bioinformatics.
Protein–protein interactions (PPIs) are a major component of the cellular biochemical reaction network. Rich sequence information and machine learning techniques reduce the dependence of exploring PPIs on wet experiments, which are costly and time-