J.M. Claverie. Computational methods for the identification of differential and coordinated gene expression. Human Molecular Genetics, 8:1821--1832, 1999. Home/Search Document Details and Download
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Computational method for reducing variance with.. - Welle, Brooks, Thornton (2002) (Correct)
....the ratio method was a bit more likely to detect them at P 0.01 (14 17 genes) than was the signal method (12 17 genes, Table 3) The P values generated by the t tests were not adjusted for multiple comparisons. However, a Bonferroni correction would be too stringent for exploratory research [12]. A useful alternative to P in studies involving thousands of comparisons is the estimated false detection rate, which is the ratio of the expected number of chance differences (P number of comparisons) to the number of differences observed. If we use P 0.01 to define a significant difference, ....
Claverie J-M: Computational methods for the identification of differential and coordinated gene expression. Hum Mol Genet 1999, 8:1821-1832
The Expresso Microarray Experiment Management.. - Heath, Heath.. (2001) (1 citation) (Correct)
....a probability density of transcription ratios under strong (and highly unrealistic) distributional assumptions. They investigate neither the effects of deviations from their strong assumptions nor all possible sources of variation (e.g. due to background estimation) Some authors (e.g. Claverie [Claverie, 1999]) have suggested the use of t tests applied to intensity values. This approach requires replication of the same gene on one or more arrays and the use of paired t tests or non parametric paired tests such as the sign test. These tests are expected to have poor efficiency with few replications. ....
Claverie, J. (1999). Computational methods for the identification of differential and coordinated gene expression. Hum. Mol. Genet., 8:1821-1832.
Analysis of Microarray Gene Expression Data - Huber, von Heydebreck, Vingron (2003) (Correct)
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J.M. Claverie. Computational methods for the identification of differential and coordinated gene expression. Human Molecular Genetics, 8:1821--1832, 1999.
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Claverie, J. M. (1999) Computational methods for the identification of differential and coordinated gene expression. Huamn Molecular Genetics, 8, 1821--1832. REFERENCES 21
A New Approach for Filtering Noise from High-Density.. - Mills, Gordon (2001) (2 citations) (Correct)
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Claverie,J.M. (1999) Computational methods for the identification of differential and coordinated gene expression. Hum. Mol. Genet., 8, 1821-- 1832.
Generation Of Patterns From Gene Expression Data By.. - Manduchi, Grant, al. (2000) (2 citations) (Correct)
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Claverie,J.M. (1999) Computational methods for the identification of differential and coordinated gene Generation of patterns from gene expression data 13 expression. Hum. Mol. Genet. Sci., 8, 1821-1832.
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