Name
Abstract | ||
|---|---|---|
The R package FELLA offers an innovative enrichment concept starting from a list of metabolites, based on a knowledge graph representation of the KEGG database that focuses on interpretability. Besides reporting a list of pathways, FELLA suggests intermediate entities that are of interest per se. Its usefulness has been shown at several molecular levels on six public datasets, including human and animal models. The user can run the enrichment analysis through a simple interactive graphical interface or programmatically. FELLA is publicly available in Bioconductor under the GPL-3 license. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2487-5 | BMC bioinformatics |
Keywords | Field | DocType |
Data mining,Knowledge representation,Metabolomics,Network analysis,Pathways | Knowledge graph,Knowledge representation and reasoning,Biology,Crosstalk,Bioconductor,Metabolomics,KEGG,Computational biology,Genetics,DNA microarray,R package | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Picart-Armada | 1 | 0 | 1.01 |
| Francesc Fernández-Albert | 2 | 4 | 2.56 |
| Maria Vinaixa | 3 | 0 | 0.34 |
| Oscar Yanes | 4 | 0 | 1.35 |
| Alexandre Perera-Lluna | 5 | 26 | 5.74 |