Name
Abstract | ||
|---|---|---|
We use a semisupervised learning algorithm based on a topological data analysis approach to assign functional categories to yeast proteins using similarity graphs. This new approach to analyzing biological networks yields results that are as good as or better than state of the art existing approaches. |
Year | Venue | Field |
|---|---|---|
2014 | CoRR | Topological data analysis,Graph,Pattern recognition,Biological network,Artificial intelligence,Yeast Proteins,Cluster analysis,Protein function prediction,Mathematics,Machine learning,Topological graph |
DocType | Volume | Citations |
Journal | abs/1408.5634 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Sean Bowman | 1 | 0 | 0.34 |
| Douglas R. Heisterkamp | 2 | 0 | 0.34 |
| Jesse Johnson | 3 | 4 | 1.89 |
| Danielle O'Donnol | 4 | 0 | 0.34 |