Name
Abstract | ||
|---|---|---|
Our process increases the quality of output from other clustering algorithms by providing a novel post-processing method that is both fast and efficient at removing low quality clusters of putative homologous genes recovered by heuristic-based approaches. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-0955-3 | BMC Bioinformatics |
Keywords | Field | DocType |
Homology, Orthology, Paralogy, Machine learning, Evolution, RNA-seq | Genome,Sequence alignment,Gene,RNA-Seq,Biology,Homology (biology),Bioinformatics,Genetics,Gene Annotation,DNA microarray,Reference genome | Journal |
Volume | Issue | ISSN |
17 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stanley Fujimoto | 1 | 13 | 4.27 |
| Anton Suvorov | 2 | 0 | 1.35 |
| Nicholas O. Jensen | 3 | 0 | 0.34 |
| Mark J. Clement | 4 | 384 | 46.31 |
| Seth M. Bybee | 5 | 4 | 1.69 |