<p>We have selected 50 metafeatures (25 most positively correlated and 25 most negatively correlated) and ordered them by Spearman’s rank correlation with <i>JSD<sub>control</sub></i>. Genes in boldface indicate that they were previously discussed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045535#pone.0045535-GomezRavetti1" target="_blank">[5]</a> and genes with underlined boldface represent the cases for which the gene has been discussed in the context of AD in the published literature (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0045535#pone.0045535.s014" target="_blank">File S3</a> for details).</p
<p>The matched CpGs are sorted by their genomic context and then based upon the direction with which...
<p>data sets = number of data sets in which the regulator shows significant correlation between it...
BACKGROUND: Gene regulatory relationships can be inferred using matched array comparative genomics a...
<p>We have selected 50 metafeatures (25 most positively correlated and 25 most negatively correlated...
<p>We have selected 20 metafeatures (10 most positively correlated and 10 most negatively correlated...
<p>Metafeatures are ordered by Spearman’s rank correlation with <i>JSD<sub>severe</sub></i>. Genes i...
<p>We have selected 50 metafeatures (25 most positively correlated and 25 most negatively correlated...
<p>Metafeatures are ordered by Spearman’s rank correlation with NFT count. Genes in boldface indicat...
<p>Metafeatures are ordered by Spearman’s rank correlation with Braak staging. Genes in boldface ind...
<p>Counts of all significant eQTL genes (meta-analysis FDR < 5%, <b><a href="http://www.plosone.org/...
<p>For each progression marker, probe sets have been ordered according to their Spearman’s rank corr...
<b>Motivation</b>: The proliferation of public data repositories creates a need for meta-analysis me...
<p>Figures were generated using the LocusZoom online tool. X-axis is the genome coordinate. Y-axis i...
<p><b>Copyright information:</b></p><p>Taken from "Correlation analysis reveals the emergence of coh...
<p>A Pearson correlation analysis was performed on fold-change values of 123 differentially expresse...
<p>The matched CpGs are sorted by their genomic context and then based upon the direction with which...
<p>data sets = number of data sets in which the regulator shows significant correlation between it...
BACKGROUND: Gene regulatory relationships can be inferred using matched array comparative genomics a...
<p>We have selected 50 metafeatures (25 most positively correlated and 25 most negatively correlated...
<p>We have selected 20 metafeatures (10 most positively correlated and 10 most negatively correlated...
<p>Metafeatures are ordered by Spearman’s rank correlation with <i>JSD<sub>severe</sub></i>. Genes i...
<p>We have selected 50 metafeatures (25 most positively correlated and 25 most negatively correlated...
<p>Metafeatures are ordered by Spearman’s rank correlation with NFT count. Genes in boldface indicat...
<p>Metafeatures are ordered by Spearman’s rank correlation with Braak staging. Genes in boldface ind...
<p>Counts of all significant eQTL genes (meta-analysis FDR < 5%, <b><a href="http://www.plosone.org/...
<p>For each progression marker, probe sets have been ordered according to their Spearman’s rank corr...
<b>Motivation</b>: The proliferation of public data repositories creates a need for meta-analysis me...
<p>Figures were generated using the LocusZoom online tool. X-axis is the genome coordinate. Y-axis i...
<p><b>Copyright information:</b></p><p>Taken from "Correlation analysis reveals the emergence of coh...
<p>A Pearson correlation analysis was performed on fold-change values of 123 differentially expresse...
<p>The matched CpGs are sorted by their genomic context and then based upon the direction with which...
<p>data sets = number of data sets in which the regulator shows significant correlation between it...
BACKGROUND: Gene regulatory relationships can be inferred using matched array comparative genomics a...