Analysis of matched mRNA measurements from two different microarray technologies
By W. Kuo, T. Jenssen, Atul J. Butte, Lucila Ohno-Machado, Isaac S. Kohane. Bioinform., 2002
494 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/16dd32d6459b19bc14dec1864d9dd7c12abe37a3
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In Molecular Biology
- Dimiter S. Dimitrov
- Paul Pavlidis
- Eleanor Feingold
- Debashis Ghosh
- George C. Tseng
- Homin K. Lee
- Shrikant M. Mane
- Richard A. Lempicki
Citations in the corpus
- Evaluation of gene expression measurements from commercial microarray platforms. (2003, background): “Previous comparisons of microarray formats suggested that expression data on the NCI60 cell lines from spotted cDNA mircroarrays could not be directly combined with data from synthesized oligonucleotide arrays ( 5 ).”
- Comprehensive literature review and statistical considerations for microarray meta-analysis (2012, methodology): “Simple Pearson correlation and Venn diagrams have been widely used (52–55).”
- Microarray results: how accurate are they? (2002, background): “Previously, such systematic differences in the two technologies were reported [6].”
- PAGE: Parametric Analysis of Gene Set Enrichment (2005, unknown): “While individual microarray studies can be highly informative, it is generally difficult to compare independently obtained data sets addressing the same biological problem [18], regardless of whether the same or different microarray platform was used [19-23].”
- Coexpression analysis of human genes across many microarray data sets. (2004, background): “Cancer Institute reference tumor cell lines (NCI-60) but on two different microarray platforms, found that clustering results were not reproducible (Kuo et al. 2002).”