نتایج جستجو برای: microarray data

تعداد نتایج: 2439363  

2003
Ingrid Lönnstedt Terry Speed

cDNAmicroarrays permit us to study the expression of thousands of genes simultaneously. They are now used in many different contexts to compare mRNA levels between two or more samples of cells. Microarray experiments typically give us expression measurements on a large number of genes, say 10,000-20,000, but with few, if any, replicates for each gene. Traditional methods using means and standar...

2013
D C MISHRA

Micro-array Microarrays are microscopic array of single-stranded DNA molecules immobilized on a solid surface by biochemical synthesis also called as DNA chips, gene chips, biochips, DNA microarrays or simply the arrays. Basic idea behind microarray technology is to simultaneously measure the relative expression level of thousands of genes within a particular cell population or tissue. Microarr...

Journal: :Current issues in molecular biology 2002
Martin Bilban Lukas K Buehler Steven Head Gernot Desoye Vito Quaranta

DNA microarrays are a powerful tool to investigate differential gene expression for thousands of genes simultaneously. Although DNA microarrays have been widely used to understand the critical events underlying growth, development, homeostasis, behavior and the onset of disease, the management of the resulting data has received little attention. Presently, the fluorescent dyes Cy3 and Cy5 are m...

Journal: :Journal of computational biology : a journal of computational molecular cell biology 2001
Andrew B. Goryachev Pascale F. Macgregor Aled M. Edwards

The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the relative abundance of mRNA in two different samples by probing a single DNA microarray simultaneously. The simplicity of this concept sometimes masks the complexity of capturing and processing microarray data. On the b...

2002
Wentian Li

Microarray data consists of mRNA expression levels of thousands of genes under certain conditions.

2003
Paul Gauthier Michael Ringenburg

DNA microarrays are a powerful technology for analysis of gene expression levels within cells. Both the cDNA and oligonucleotide technologies for microarrays are fairly young and are prone to a broad collection of errors and inaccuracies [KYML02]. In this paper we briefly discuss some sources of error and detail a variety of methods for normalizing the data with respect to some of these error s...

Journal: :Science 2002
Catherine A Ball Gavin Sherlock Helen Parkinson Philippe Rocca-Sera Catherine Brooksbank Helen C Causton Duccio Cavalieri Terry Gaasterland Pascal Hingamp Frank Holstege Martin Ringwald Paul Spellman Christian J Stoeckert Jason E Stewart Ronald Taylor Alvis Brazma John Quackenbush

ONE OF THE UNDERLYING PRINCIPLES OF scientific publication in peer-reviewed journals has been the requirement that the authors make available the data and materials necessary for a reader to reproduce the experiment or analysis and to determine whether the data support the authors’ conclusions. In many instances, such as DNA sequence or protein structure data, this has evolved into the requirem...

2007
Andrea Vijverberg

Using microarray data, which gives thousands of genes’ expression levels at once, we examine different clustering techniques and evaluation methods to effectively cluster the noisy data. The results of this study has implications for the field of biology. Genes with similar functions are grouped together, which gives insight into specific genes and their role in the cell. The cluster analysis e...

Journal: :Briefings in Functional Genomics and Proteomics 2003

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