| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10231893 | Computational Biology and Chemistry | 2011 | 8 Pages |
Abstract
⺠A protein's essentiality is determined by evaluating the relationship between it and its neighbors. ⺠The number of essential proteins predicted by LAC clearly exceeds that explored by Degree Centrality (DC). ⺠LAC outweighs the eight previous essential protein discovery methods (Degree Centrality (DC), Neighborhood Component (DMNC), Betweenness Centrality (BC), Closeness Centrality (CC), Bottle Neck (BN), Information Centrality (IC), Eigenvector Centrality (EC), and Subgraph Centrality (SC)) on the results of F-measure and accuracy. ⺠LAC also outperforms the eight previous essential protein discovery methods on the validation of jackknifing methodology.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
Min Li, Jianxin Wang, Xiang Chen, Huan Wang, Yi Pan,