Name
Abstract | ||
|---|---|---|
This paper aims to evaluate the clustering quality of various protein clustering tools that are publicly available as standalone applications. We first review the current protein sequence clustering methods, and introduce a new incrementally clustering tool denoted as PINC. We then propose an intuitive performance metric for evaluating them. The evaluation results of the tools on the public database Pfam are reported. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11428848_112 | International Conference on Computational Science (2) |
Keywords | Field | DocType |
standalone application,new incrementally,public database pfam,evaluation result,various protein,current protein sequence,performance evaluation,intuitive performance,clustering quality,protein sequence | Data mining,Protein sequencing,Computer science,Performance metric,Cluster analysis | Conference |
Volume | ISSN | ISBN |
3515 | 0302-9743 | 3-540-26043-9 |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifeng Liu | 1 | 1 | 0.37 |
| Loo-Nin Teow | 2 | 103 | 17.29 |