Microarray data analysis: from disarray to consolidation and consensus
Top Cited Papers
- 1 January 2006
- journal article
- review article
- Published by Springer Science and Business Media LLC in Nature Reviews Genetics
- Vol. 7 (1), 55-65
- https://doi.org/10.1038/nrg1749
Abstract
No abstract availableKeywords
This publication has 87 references indexed in Scilit:
- Statistical Development and Evaluation of Microarray Gene Expression Data FiltersJournal of Computational Biology, 2005
- Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in DataBiometrics, 2005
- Improved statistical tests for differential gene expression by shrinking variance components estimatesBiostatistics, 2004
- Statistical concerns about the GSEA procedureNature Genetics, 2004
- Variance-modeled posterior inference of microarray data: detecting gene-expression changes in 3T3-L1 adipocytesBioinformatics, 2004
- Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-valuesBioinformatics, 2003
- PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetesNature Genetics, 2003
- Microarray data normalization and transformationNature Genetics, 2002
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences of the United States of America, 2001
- Power and money: Designing statistically powerful studies while minimizing financial costs.Psychological Methods, 1997