GENE SET TESTING TO CHARACTERIZE MULTIVARIATELY DIFFERENTIALLY EXPRESSED GENES
نویسندگان
چکیده
منابع مشابه
Testing for differentially expressed genes with microarray data.
This paper compares the type I error and power of the one- and two-sample t-tests, and the one- and two-sample permutation tests for detecting differences in gene expression between two microarray samples with replicates using Monte Carlo simulations. When data are generated from a normal distribution, type I errors and powers of the one-sample parametric t-test and one-sample permutation test ...
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Scientists are interested in how gene expression levels may vary under different treatments. They want to know which genes are expressed differently under treatment conditions and control conditions. Gene expression microarray data are modeled to find significant changes in gene expression levels between a control and treatment tissue co-hybridized on one slide. The model used is the Bayesian h...
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Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA chips. Subtractive hybridization has significantly improved after the polymerase chain reaction was incorporated into the original method and many...
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Motivation: Univariate testing procedures remain the most common way to identify differentially expressed genes (DEGs). Univariate techniques suffer from the multiple comparison problem and reduced power, because they fail to account for gene interaction. Motivated by these issues, we adopt a multivariate procedure. Namely, we utilize the sup-norm test, which was specifically developed for high...
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High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that could distinguish different tissue types. Of particular interest here is distinguishing between cancerous and normal organ tissues. We consider statistical methods to rank genes (or proteins) in regards to differential expression...
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ژورنال
عنوان ژورنال: Conference on Applied Statistics in Agriculture
سال: 2012
ISSN: 2475-7772
DOI: 10.4148/2475-7772.1032