Integrative correlation : Properties and relation to canonical correlations
The integrative correlation coefficient was developed to facilitate the validation of expression microarray results in public datasets, by identifying genes that are reproducibly measured across studies and even across microarray platforms. In the current study, we develop a number of interesting an...
| Veröffentlicht in: | Journal of multivariate analysis. - 1998. - 123(2014) vom: 01. Jan., Seite 270-280 |
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| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2014
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| Zugriff auf das übergeordnete Werk: | Journal of multivariate analysis |
| Schlagworte: | Journal Article Bioinformatics Correlation Cross-study validation Gene expression Reproducibility Statistics |
| Zusammenfassung: | The integrative correlation coefficient was developed to facilitate the validation of expression microarray results in public datasets, by identifying genes that are reproducibly measured across studies and even across microarray platforms. In the current study, we develop a number of interesting and important mathematical and statistical properties of the integrative correlation coefficient, including a unique permutation-based null distribution with the unusual property that the variance does not shrink as the sample size increases, discussing how these findings impact its use and interpretation, and what they have to say about any method for identifying reproducible genes in a meta-analysis |
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| Beschreibung: | Date Revised 01.10.2020 published: Print Citation Status PubMed-not-MEDLINE |
| ISSN: | 0047-259X |