Title
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model
Abstract
X-ray diffraction and nuclear magnetic resonance spectroscopy are the main methods for measuring membrane proteins. The traditional methods are time-consuming and labor-intensive. To large-scale prediction and screening of membrane proteins, a graph regularized k-local hyperplane distance nearest neighbor model (GHKNN) is proposed to identify of membrane protein types. For effectively integrating ...
Year
DOI
Venue
2021
10.1109/BIBM52615.2021.9669833
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Keywords
DocType
ISBN
Proteins,Spectroscopy,Biological system modeling,Conferences,X-ray diffraction,Predictive models,Biomedical measurement
Conference
978-1-6654-0126-5
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Mengwei Sun100.34
Yuqing Qian200.68
yihong ding34010.39
Jijun Tang437048.23
quan zou555867.61