Name
Abstract | ||
|---|---|---|
Enrichment testing assesses the overall evidence of differential expression behavior of the elements within a defined set. When we have measured many molecular aspects, e.g. gene expression, metabolites, proteins, it is desirable to assess their differential tendencies jointly across platforms using an integrated set enrichment test. In this work we explore the properties of several methods for performing a combined enrichment test using gene expression and metabolomics as the motivating platforms. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1186/1471-2105-12-459 | BMC Bioinformatics |
Keywords | Field | DocType |
Null Distribution, Joint Test, Enrichment Test, Logistic Regression Test, Competitive Test | Differential expression,Biology,Metabolomics,Genomics,Omics,Computational biology,Bioinformatics,Gene expression profiling,DNA microarray | Journal |
Volume | Issue | ISSN |
12 | 1 | 1471-2105 |
Citations | PageRank | References |
9 | 0.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laila M. Poisson | 1 | 9 | 0.37 |
| Jeremy M. G. Taylor | 2 | 52 | 3.81 |
| Debashis Ghosh | 3 | 496 | 49.16 |