<div><p>(A) Moving average analyses of the fraction of mRNAs encoding MS proteins. Data for two representative fractionations are shown. In each case, well-measured array elements representing characterized genes were extracted, and the local enrichment for MS-encoding genes (window size = 151) was calculated as a function of the Cy5/Cy3 ratio. The horizontal line represents the overall fraction of MS genes on the microarrays used in these experiments.</p><p>(B) Discovery rate analysis for the identification of MS and CN genes. A representative microarray hybridization was chosen for each cell line and the total nonredundant number of classified MS or CN genes (UniGene clusters) was calculated after each new fractionation.</p></div
As an important experimental technology, DNA microarray provides an effective way to measure the exp...
Disclosures from the genome sequencing projects facilitated the development of novel techniques able...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
DNA microarray is a technology that simultaneously evaluates quantitative measurements for the expre...
Gene expression profiling measures the relative abundance of a large number of individual mRNA speci...
We review several commonly used methods for the design and analysis of microarray data. To begin wit...
Motivation: Microarray experiments typically analyze thousands to tens of thousands of genes from sm...
The microarray technology is based on analytical tools that parallelize the quantitative and qualita...
We review several commonly used methods for the design and analysis of microarray data. To begin wit...
We review several commonly used methods for the design and analysis of microarray data. To begin wit...
Genome-scale microarray experiments for com-parative analysis of gene expressions produce massive am...
DNA microarray technology produces large amounts of data. For data mining of these datasets, backgro...
UnrestrictedMicroarray technology allows the simultaneous measurement of RNA levels in a cell cultur...
AbstractData originating from biomedical experiments has provided machine learning researchers with ...
As an important experimental technology, DNA microarray provides an effective way to measure the exp...
Disclosures from the genome sequencing projects facilitated the development of novel techniques able...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
DNA microarray is a technology that simultaneously evaluates quantitative measurements for the expre...
Gene expression profiling measures the relative abundance of a large number of individual mRNA speci...
We review several commonly used methods for the design and analysis of microarray data. To begin wit...
Motivation: Microarray experiments typically analyze thousands to tens of thousands of genes from sm...
The microarray technology is based on analytical tools that parallelize the quantitative and qualita...
We review several commonly used methods for the design and analysis of microarray data. To begin wit...
We review several commonly used methods for the design and analysis of microarray data. To begin wit...
Genome-scale microarray experiments for com-parative analysis of gene expressions produce massive am...
DNA microarray technology produces large amounts of data. For data mining of these datasets, backgro...
UnrestrictedMicroarray technology allows the simultaneous measurement of RNA levels in a cell cultur...
AbstractData originating from biomedical experiments has provided machine learning researchers with ...
As an important experimental technology, DNA microarray provides an effective way to measure the exp...
Disclosures from the genome sequencing projects facilitated the development of novel techniques able...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...