Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hehe Lv"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5851-5863 (2023)
Abstract Bipartite networks that characterize complex relationships among data arise in various domains. The existing bipartite network models are mainly based on a type of relationship between objects, and cannot effectively describe multiple relati
Externí odkaz:
https://doaj.org/article/20f6f20ba9c745418372252cb6c53916
Autor:
Hehe Lv, Fan Zhang, Can Liang, Xuekui Liu, Yamei Ma, Jiayi Li, Yan Ye, Shanwen Si, Yaran Liu, Hao Heng, Houfa Geng
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
The discovery of a large number of small pulmonary nodules and early diagnosis of lung cancer in the diabetic patients prompt us to re-examine the relationship between diabetes and the occurrence and development of lung cancer. The aim of this study
Externí odkaz:
https://doaj.org/article/10e7abcd2eeb4c61948feeecf1f178f9
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background The study of DNA binding protein (DBP)-drug interactions can open a breakthrough for the treatment of genetic diseases and cancers. Currently, network-based methods are widely used for protein-drug interaction prediction, and many
Externí odkaz:
https://doaj.org/article/2039749d484d49e7bdd12406f4e893f9
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3247 (2023)
The cell cycle and biological processes rely on RNA and RNA-binding protein (RBP) interactions. It is crucial to identify the binding sites on RNA. Various deep-learning methods have been used for RNA-binding site prediction. However, they cannot ext
Externí odkaz:
https://doaj.org/article/acc4a70b042c40f7be6f33316fb92ae8
Publikováno v:
IEEE Access, Vol 7, Pp 30042-30049 (2019)
The study of nucleic acid-binding protein (NBP) has important significance for us to understand critical intracellular activities, such as the transmission of cellular genetic information, cell metabolism, substance transport, and signal transduction
Externí odkaz:
https://doaj.org/article/5b13ec8c1423457e8b653809c48ae395
Publikováno v:
IEEE Access, Vol 7, Pp 140375-140382 (2019)
Protein-nucleic acids bindings play key roles in many biological processes. However, the biological mechanisms underlying these interactions are not fully understood. Understanding the interface features between protein and nucleic acids may offer in
Externí odkaz:
https://doaj.org/article/ec819eab0fce49238e9316ff8d43e3de
Publikováno v:
Entropy, Vol 24, Iss 9, p 1213 (2022)
Network data analysis is a crucial method for mining complicated object interactions. In recent years, random walk and neural-language-model-based network representation learning (NRL) approaches have been widely used for network data analysis. Howev
Externí odkaz:
https://doaj.org/article/341d27e5c6e740cebcc6b43321af4568
Publikováno v:
Brain Sciences, Vol 12, Iss 8, p 987 (2022)
Electroencephalography (EEG) is recorded by electrodes from different areas of the brain and is commonly used to measure neuronal activity. EEG-based methods have been widely used for emotion recognition recently. However, most current methods for EE
Externí odkaz:
https://doaj.org/article/433e95c34e98488db25b338cee2640f4
Publikováno v:
Entropy, Vol 24, Iss 5, p 610 (2022)
Link prediction based on bipartite networks can not only mine hidden relationships between different types of nodes, but also reveal the inherent law of network evolution. Existing bipartite network link prediction is mainly based on the global struc
Externí odkaz:
https://doaj.org/article/64869cfba1e0401395cdb0d101195551
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
The studies on drug-protein interactions (DPIs) had significant for drug repositioning, drug discovery, and clinical medicine. The biochemical experimentation (in vitro) requires a long time and high cost to be confirmed because it is difficult to es
Externí odkaz:
https://doaj.org/article/70e6d91732d04e5286f24f501944cc53