Interpretation of expression-profiling results obtained from different platforms and tissue sources: examples using prostate cancer data
- 1 November 2004
- journal article
- review article
- Published by Elsevier in European Journal Of Cancer
- Vol. 40 (17) , 2592-2603
- https://doi.org/10.1016/j.ejca.2004.07.029
Abstract
No abstract availableKeywords
This publication has 47 references indexed in Scilit:
- Normalization of cDNA microarray dataMethods, 2003
- Normalization of DNA-Microarray Data by Nonlinear Correlation MaximizationJournal of Computational Biology, 2003
- New normalization methods for cDNA microarray dataBioinformatics, 2003
- Microarrays: How Many Do You Need?Journal of Computational Biology, 2003
- Microarray data normalization and transformationNature Genetics, 2002
- Assessing Gene Significance from cDNA Microarray Expression Data via Mixed ModelsJournal of Computational Biology, 2001
- Delineation of prognostic biomarkers in prostate cancerNature, 2001
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- Widely used prostate carcinoma cell lines share common originsThe Prostate, 2001
- Robust Locally Weighted Regression and Smoothing ScatterplotsJournal of the American Statistical Association, 1979