ArticleThe Journal of molecular diagnostics : JMD2003
Analysis of microarray data using Z score transformation.
Article in The Journal of molecular diagnostics : JMD, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 513 papers, 2 of them syntheses that pooled it.
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Who cites it
513 citing papers in PubMed, 2 syntheses or guidelines pooled it.
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453 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
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Abstract
High-throughput cDNA microarray technology allows for the simultaneous analysis of gene expression levels for thousands of genes and as such, rapid, relatively simple methods are needed to store, analyze, and cross-compare basic microarray data. The application of a classical method of data normalization, Z score transformation, provides a way of standardizing data across a wide range of experiments and allows the comparison of microarray data independent of the original hybridization intensities. Data normalized by Z score transformation can be used directly in the calculation of significant changes in gene expression between different samples and conditions. We used Z scores to compare several different methods for predicting significant changes in gene expression including fold changes, Z ratios, Z and t statistical tests. We conclude that the Z score transformation normalization method accompanied by either Z ratios or Z tests for significance estimates offers a useful method for the basic analysis of microarray data. The results provided by these methods can be as rigorous and are no more arbitrary than other test methods, and, in addition, they have the advantage that they can be easily adapted to standard spreadsheet programs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.