Name
Title | ||
|---|---|---|
Multi-level clustering support vector machine trees for improved protein local structure prediction. |
Abstract | ||
|---|---|---|
Local protein structure prediction is one of important tasks for bioinformatics research. In order to further enhance the performance of local protein structure prediction, we propose the Multi-level Clustering Support Vector Machine Trees (MLSVMTs). Building on the multi-cluster tree structure, the MLSVMTs model uses multiple SVMs, each of which is customized to learn the unique sequence-to-structure relationship for one cluster. Both the combined 5 x 2 CV F test and the independent test show that the local structure prediction accuracy of MLSVMTs is significantly better than that of one-level K-means clustering, Multi-level clustering and Clustering Support Vector Machines. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1504/IJDMB.2014.059063 | IJDMB |
Keywords | DocType | Volume |
local protein structure prediction,mlsvmts model,multi-level clustering support vector,improved protein,machine tree,multi-level clustering,vector machine trees mlsvmts,cv f test,multi-cluster tree structure,vector machines,multi-level clustering support,local structure prediction accuracy,clustering support | Journal | 9 |
Issue | ISSN | Citations |
2 | 1748-5673 | 0 |
PageRank | References | Authors |
0.34 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Zhong | 1 | 18 | 4.48 |
| Jieyue He | 2 | 128 | 18.92 |
| Xiujuan Chen | 3 | 41 | 5.25 |
| Yi Pan | 4 | 2507 | 203.23 |