Hunting for differentially expressed genes

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Hunting for differentially expressed genes.

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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Multivariate methods for identifying differentially expressed genes

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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Finding differentially expressed genes for pattern generation

MOTIVATION It is important to consider finding differentially expressed genes in a dataset of microarray experiments for pattern generation. RESULTS We developed two methods which are mainly based on the q-values approach; the first is a direct extension of the q-values approach, while the second uses two approaches: q-values and maximum-likelihood. We present two algorithms for the second me...

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Finding Significantly Differentially Expressed Genes

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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Selecting differentially expressed genes from microarray experiments.

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: Brazilian Journal of Medical and Biological Research

سال: 1999

ISSN: 0100-879X

DOI: 10.1590/s0100-879x1999000700012