<p>(A) The average number of hits (log2(x+1)) for each gene are plotted on the y-axis and the corresponding normalized expression values from the array data are shown on the x-axis. Expression values of the genes having a probeset on the array are well correlated between the technologies (Spearman correlation: 0.63). (B) A Venn diagram summarizing the overlap between genes detected to be expressed in the RNA-Seq data sets and the array data.</p
<p>2A: Changes in gene expression estimated by microarray. 2B: Changes in gene expression estimated ...
BACKGROUND: Concerns are often raised about the accuracy of microarray technologies and the degree o...
<p>A) Spearman correlation distribution between the gene expression profiles inferred by different p...
<p>A: Venn diagram summarizing the overlap between differentially expressed genes from RNA-Seq (<i>l...
<p>(A) Number of genes expressed in human M1- (left) and M2-like macrophages (right) as detected usi...
<p>Comparison between RNA-Seq and microarray platforms across 8621 human and 5467 mouse genes from a...
<p>(A) Correlation of signal intensity of saline treated 9V/null tissues in microarray platform with...
<p>A) Comparison of differentially expressed genes obtained from RNA-seq data from patient samples a...
<p>There are 552 genes selected from the RNA-Seq data (see <a href="http://www.plosone.org/article/i...
<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...
<p>(<b>A</b>) Comparison of gene expression detected by RNA-Seq and Affymetrix expression array plat...
RNAseq and microarray methods are frequently used to measure gene expression level. While similar in...
MOTIVATION: RNA-seq co-expression analysis is in its infancy and reasonable practices remain poorly ...
<p>(A) The fold-change values from the mRNA-seq data (x-axis) are plotted against the fold change va...
<div><p>RNAseq and microarray methods are frequently used to measure gene expression level. While si...
<p>2A: Changes in gene expression estimated by microarray. 2B: Changes in gene expression estimated ...
BACKGROUND: Concerns are often raised about the accuracy of microarray technologies and the degree o...
<p>A) Spearman correlation distribution between the gene expression profiles inferred by different p...
<p>A: Venn diagram summarizing the overlap between differentially expressed genes from RNA-Seq (<i>l...
<p>(A) Number of genes expressed in human M1- (left) and M2-like macrophages (right) as detected usi...
<p>Comparison between RNA-Seq and microarray platforms across 8621 human and 5467 mouse genes from a...
<p>(A) Correlation of signal intensity of saline treated 9V/null tissues in microarray platform with...
<p>A) Comparison of differentially expressed genes obtained from RNA-seq data from patient samples a...
<p>There are 552 genes selected from the RNA-Seq data (see <a href="http://www.plosone.org/article/i...
<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...
<p>(<b>A</b>) Comparison of gene expression detected by RNA-Seq and Affymetrix expression array plat...
RNAseq and microarray methods are frequently used to measure gene expression level. While similar in...
MOTIVATION: RNA-seq co-expression analysis is in its infancy and reasonable practices remain poorly ...
<p>(A) The fold-change values from the mRNA-seq data (x-axis) are plotted against the fold change va...
<div><p>RNAseq and microarray methods are frequently used to measure gene expression level. While si...
<p>2A: Changes in gene expression estimated by microarray. 2B: Changes in gene expression estimated ...
BACKGROUND: Concerns are often raised about the accuracy of microarray technologies and the degree o...
<p>A) Spearman correlation distribution between the gene expression profiles inferred by different p...