Name
Title | ||
|---|---|---|
Handling multiple testing while interpreting microarrays with the Gene Ontology Database. |
Abstract | ||
|---|---|---|
BACKGROUND: The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different methods. A common problem for many of these tools is how to correct for multiple statistical testing since simple corrections are overly conservative and more sophisticated corrections are currently impractical. A careful study of the nature of the distribution one would expect by chance, such as by a simulation study, may be able to guide the development of an appropriate correction that is not overly time consuming computationally. RESULTS: We present the results from a preliminary study of the distribution one would expect for analyzing sets of genes extracted from Drosophila, S. cerevisiae, Wormbase, and Gramene databases using the Gene Ontology Database. CONCLUSIONS: We found that the estimated distribution is not regular and is not predictable outside of a particular set of genes. Permutation-based simulations may be necessary to determine the confidence in results of such analyses. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1186/1471-2105-5-124 | BMC Bioinformatics |
Keywords | Field | DocType |
microarrays,genetics,statistical test,algorithms,bioinformatics,helminths,microarray data,multiple testing,gene expression profiling,computational biology | Data science,Data processing,Gene ontology,Computer science,Multiple comparisons problem,Software,Bioinformatics,Genetics,DNA microarray,Statistical hypothesis testing | Journal |
Volume | Issue | ISSN |
5 | 1 | 1471-2105 |
Citations | PageRank | References |
13 | 0.99 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael V. Osier | 1 | 28 | 4.18 |
| Hongyu Zhao | 2 | 850 | 89.39 |
| Kei-hoi Cheung | 3 | 664 | 60.65 |