Name
Abstract | ||
|---|---|---|
Gene-expression microarrays are currently being applied in a variety of biomedical applications. This article considers the problem of how to merge datasets arising from different gene-expression studies of a common organism and phenotype. Of particular interest is how to merge data from different technological platforms.The article makes two contributions to the problem. The first is a simple cross-study normalization method, which is based on linked gene/sample clustering of the given datasets. The second is the introduction and description of several general validation measures that can be used to assess and compare cross-study normalization methods. The proposed normalization method is applied to three existing breast cancer datasets, and is compared to several competing normalization methods using the proposed validation measures.The supplementary materials and XPN Matlab code are publicly available at website: https://genome.unc.edu/xpn |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/bioinformatics/btn083 | Bioinformatics |
Keywords | Field | DocType |
normalization method,supplementary data,different gene-expression study,different technological platform,existing breast cancer datasets,proposed validation measure,proposed normalization method,cross-study normalization method,general validation measure,simple cross-study normalization method,cross-platform normalization,breast cancer,gene expression | Data mining,Normalization (statistics),MATLAB,Computer science,Bioinformatics,Cross-platform,Cluster analysis,Merge (version control),DNA microarray | Journal |
Volume | Issue | ISSN |
24 | 9 | 1367-4811 |
Citations | PageRank | References |
33 | 1.72 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrey A Shabalin | 1 | 103 | 8.38 |
| Håkon Tjelmeland | 2 | 43 | 5.15 |
| Cheng Fan | 3 | 33 | 2.05 |
| Perou Charles M | 4 | 114 | 10.18 |
| Andrew B Nobel | 5 | 254 | 21.11 |