Novel techniques for analyzing microarray data are constantly being developed. Though many of the methods contribute to biological discoveries, inability to properly evaluate the novel techniques limits their ability to advance science. Because the underlying distribution of microarray data is unknown, novel methods are typically tested against the assumed normal distribution. However, microarray data are not, in fact, normally distributed, and assuming so can have misleading consequences. Using an Affymetrix technical replicate spike-in data set, we show that oligonucleotide expression values are not normally distributed for any of the standard methods for calculating expression values. The resulting data tend to have a large proportion of...
Abstract Background Microarray data analysts commonly...
Microarrays allow researchers to measure the expression of thousands of genes in a single experiment...
Motivation: A number of algorithms have been proposed for the processing of feature-level data from ...
Novel techniques for analyzing microarray data are constantly being developed. Though many of the me...
Motivation: Gene expression profiling has become an invaluable tool in functional genomics. A wide v...
Motivation: Most methods of analyzing microarray data or doing power calculations have an underlying...
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in ...
Motivation: Most methods of analyzing microarray data or doing power calculations have an underlying...
Abstract Background Gene expression microarray data is notoriously subject to high signal variabilit...
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic inform...
Oligonucleotide microarrays belong to the basic tools of molecular biology and allow for simultaneou...
<p><b>Copyright information:</b></p><p>Taken from "Selection of long oligonucleotides for gene expre...
Background:DNA microarrays are a powerful technology that can provide a wealth of gene expression da...
UnrestrictedThis thesis consists of three parts, reflecting three levels of Microarray data analysis...
The recent development of complementary DNA microarray technology pro-vides a powerful analytical to...
Abstract Background Microarray data analysts commonly...
Microarrays allow researchers to measure the expression of thousands of genes in a single experiment...
Motivation: A number of algorithms have been proposed for the processing of feature-level data from ...
Novel techniques for analyzing microarray data are constantly being developed. Though many of the me...
Motivation: Gene expression profiling has become an invaluable tool in functional genomics. A wide v...
Motivation: Most methods of analyzing microarray data or doing power calculations have an underlying...
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in ...
Motivation: Most methods of analyzing microarray data or doing power calculations have an underlying...
Abstract Background Gene expression microarray data is notoriously subject to high signal variabilit...
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic inform...
Oligonucleotide microarrays belong to the basic tools of molecular biology and allow for simultaneou...
<p><b>Copyright information:</b></p><p>Taken from "Selection of long oligonucleotides for gene expre...
Background:DNA microarrays are a powerful technology that can provide a wealth of gene expression da...
UnrestrictedThis thesis consists of three parts, reflecting three levels of Microarray data analysis...
The recent development of complementary DNA microarray technology pro-vides a powerful analytical to...
Abstract Background Microarray data analysts commonly...
Microarrays allow researchers to measure the expression of thousands of genes in a single experiment...
Motivation: A number of algorithms have been proposed for the processing of feature-level data from ...