Title | ||
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Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model |
Abstract | ||
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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 Sun | 1 | 0 | 0.34 |
Yuqing Qian | 2 | 0 | 0.68 |
yihong ding | 3 | 40 | 10.39 |
Jijun Tang | 4 | 370 | 48.23 |
quan zou | 5 | 558 | 67.61 |