Name
Title | ||
|---|---|---|
A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions. |
Abstract | ||
|---|---|---|
Ignoring the systematic variations that differentiate heterogeneous studies can produce results that are statistically indistinguishable from random guessing. Meta-analysis and data merging methods have proved equally effective in addressing this issue, and thus researchers may safely select the approach that best suit their specific application. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-1038-1 | BMC Bioinformatics |
Keywords | Field | DocType |
Batch-effect Removal,Escherichia coli,Gene-network Reconstruction,Ikaros Transcription Factor,Integrative Analysis,Meta-Analysis,Peripheral Blood Mononuclear Cells,Surrogate Variable Analysis,Yeast | Data mining,Gene,Biology,Ikaros Transcription Factor,Bioinformatics,Meta-analysis,Genetics,Gene regulatory network,Merge (version control),Statistical power,DNA microarray,Meta-Analysis as Topic | Journal |
Volume | Issue | ISSN |
17 | S-5 | 1471-2105 |
Citations | PageRank | References |
1 | 0.63 | 31 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincenzo Lagani | 1 | 58 | 7.70 |
| Argyro D. Karozou | 2 | 1 | 0.96 |
| David Gomez-Cabrero | 3 | 69 | 8.38 |
| Gilad Silberberg | 4 | 42 | 6.51 |
| Ioannis Tsamardinos | 5 | 2071 | 135.67 |