Name
Title | ||
|---|---|---|
NEArender: an R package for functional interpretation of 'omics' data via network enrichment analysis. |
Abstract | ||
|---|---|---|
Beyond the state-of-the-art exploration of molecular data through pathway enrichment, score matrices produced by NEArender can be used in larger bioinformatics pipelines as input for phenotype modeling, predicting disease outcomes etc. This approach is often more sensitive and robust than using the original data. The package NEArender is complementary to the online NEA tool EviNet ( https://www.evinet.org ) and, unlike of the latter, enables high performance of computations off-line. The R package NEArender version 1.4 is available at CRAN repository https://cran.r-project.org/web/packages/NEArender/. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1534-y | BMC Bioinformatics |
Keywords | Field | DocType |
Enrichment,Network analysis,Network benchmark,R package | Data mining,Computer science,Network analysis,Bioinformatics,Rendering (computer graphics),Statistical power,DNA microarray,R package | Journal |
Volume | Issue | ISSN |
18 | S-5 | 1471-2105 |
Citations | PageRank | References |
2 | 0.38 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashwini Jeggari | 1 | 16 | 1.80 |
| Andrey Alexeyenko | 2 | 10 | 1.55 |