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	Provedor de dados Genet. Mol. Biol. (2) Autor Zhou,Jian (2) Baylink,David J. (1) Gu,Weikuan (1) Kim,Jaejung (1) Li,Xinmin (1) Masinde,Godfred (1) Mohan,Subburaman (1) Quigg,Richard (1) Quigg,Richard J (1) Xinmin,Li (1) Xu,Shizhong (1) Mais... Palavra-chave Affymetrix (1) Data analysis (1) Detection power (1) Mice (1) Microarray (1) Phenotypic measurement (1) Population size (1) QTL mapping (1) Signal threshold (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2006 (1) 2005 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última A critical evaluation of the effect of population size and phenotypic measurement on QTL detection and localization using a large F2 murine mapping population Genet. Mol. Biol. Li,Xinmin; Quigg,Richard J; Zhou,Jian; Xu,Shizhong; Masinde,Godfred; Mohan,Subburaman; Baylink,David J.. Population size and phenotypic measurement are two key factors determining the detection power of quantitative trait loci (QTL) mapping. We evaluated how these two controllable factors quantitatively affect the detection of QTL and their localization using a large F2 murine mapping population and found that three main points emerged from this study. One finding was that the sensitivity of QTL detection significantly decreased as the population size decreased. The decrease in the percentage logarithm of the odd score (LOD score, which is a statistical measure of the likelihood of two loci being lied near each other on a chromosome) can be estimated using the formula 1 - n/N, where n is the smaller and N the larger population size. This empirical formula has... Tipo: Info:eu-repo/semantics/article Palavras-chave: QTL mapping; Mice; Detection power; Population size; Phenotypic measurement. Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572006000100030 Use of signal thresholds to determine significant changes in microarray data analyses Genet. Mol. Biol. Xinmin,Li; Kim,Jaejung; Zhou,Jian; Gu,Weikuan; Quigg,Richard. The use of a constant fold-change to determine significant changes in gene expression has been widely accepted for its intuition and ease of use in microarray data analysis, but this concept has been increasingly criticized because it does not reflect signal intensity and can result in a substantial number of false positives and false negatives. To resolve this dilemma, we have analyzed 65 replicate Affymetrix chip-chip comparisons and determined a series of user adjustable signal-dependent thresholds which do not require replicates and offer a 95% confidence interval. Quantitative RT-PCR shows that such thresholds significantly improve the power to discriminate biological changes in mRNA from noise and reduce false calls compared to the traditional... Tipo: Info:eu-repo/semantics/article Palavras-chave: Microarray; Signal threshold; Affymetrix; Data analysis. Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572005000200002 Registros recuperados: 2 Primeira ... 1 ... Última

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