2006
DOI: 10.1016/s1672-0229(07)60002-3
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High-Sensitivity Transcriptome Data Structure and Implications for Analysis and Biologic Interpretation

Abstract: Novel microarray technologies such as the AB1700 platform from Applied Biosystems promise significant increases in the signal dynamic range and a higher sensitivity for weakly expressed transcripts. We have compared a representative set of AB1700 data with a similarly representative Affymetrix HG-U133A dataset. The AB1700 design extends the signal dynamic detection range at the lower bound by one order of magnitude. The lognormal signal distribution profiles of these high-sensitivity data need to be represente… Show more

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Cited by 25 publications
(46 citation statements)
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“…Briefly, normalization was achieved using the NeONORM method (50). Significance of log2 (fold change) (designated "log2Q") was determined based on a mixture lognormal distribution hypothesis of signal intensities using mixture ANOVA methodology (51). Changes in gene expression profiles were considered significant when at least 1 time-point was different from the baseline (P < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Briefly, normalization was achieved using the NeONORM method (50). Significance of log2 (fold change) (designated "log2Q") was determined based on a mixture lognormal distribution hypothesis of signal intensities using mixture ANOVA methodology (51). Changes in gene expression profiles were considered significant when at least 1 time-point was different from the baseline (P < 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…Data quality was determined using a QC procedure (41). Data were normalized using NeONORM with k = 0.02 (42)(43)(44). Subtraction profiling was performed as in refs.…”
Section: Methodsmentioning
confidence: 99%
“…For the purposes of investigating the activity of the Shh pathway, data were median centered, log2 transformed, and model adjusted. Interarray and intergroup normalizations were carried out using the NeONORM method described previously (23)(24)(25). Multiple probes for a single gene and cross-reactivity of a single probe to several genes as well as the resolution of probe-ID annotations were accounted for as defined previously (26).…”
Section: Transcriptome Analysismentioning
confidence: 99%