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 |