(A) The Simpson index of TSS diversity of a gene in the human universal sample declines with the expression level of the gene in the sample. (B) Spearman's correlations between gene expression level and Simpson index of TSS diversity in each of five human cell lines and 11 human tissue samples examined. (C) The Shannon index of TSS diversity of a gene in the human universal sample declines with the expression level of the gene in the sample. (D) Spearman's correlations between gene expression level and Shannon index of TSS diversity in each human cell line and tissue sample examined. In (A) and (C), each black dot represents a gene. Spearman's rank correlation coefficient (ρ) and associated P-value are presented for the original unbinned da...
<p>To identify co-expression patterns between multi-tissue eQTLs, correlations of expression levels ...
Contains fulltext : 138007.pdf (publisher's version ) (Open Access)BACKGROUND: A n...
The correlation coefficient is commonly used as a measure of the divergence of gene expression profi...
(A) Spearman's correlations between the mean expression level of a gene in the two species and its i...
(A) Spearman's correlations between the mean expression level of a gene in two cell lines and the be...
(A) Spearman's correlation (ρ) between the expression level of a gene and the fractional uses of its...
<p>(<b>A</b>) Genes were randomly sampled from the human genome to create sets of different sizes co...
<p>Spearman correlation of gene expression profiles is used to define the gene expression profiles s...
<p>This figure shows a scatterplot where each data point is a FANTOM5 library (points are colored-co...
<p>Gene expression of previously reported universally stably expressed reference genes was monitored...
<p>Genes have been grouped according to the number of data sets in which they displayed significant ...
<p>The bold line shows a correlation of expression profiles of the same gene in human vs in mouse. C...
<p>(A) Distribution of fold changes in gene expression (<i>y-axis</i>, log<sub>2</sub> scale) for ge...
(A) Comparison of predictive performance for each gene (R2) between each pair of populations. Predic...
<p>Correlation analysis based on Spearman’s rank correlation coefficient between gene expression dat...
<p>To identify co-expression patterns between multi-tissue eQTLs, correlations of expression levels ...
Contains fulltext : 138007.pdf (publisher's version ) (Open Access)BACKGROUND: A n...
The correlation coefficient is commonly used as a measure of the divergence of gene expression profi...
(A) Spearman's correlations between the mean expression level of a gene in the two species and its i...
(A) Spearman's correlations between the mean expression level of a gene in two cell lines and the be...
(A) Spearman's correlation (ρ) between the expression level of a gene and the fractional uses of its...
<p>(<b>A</b>) Genes were randomly sampled from the human genome to create sets of different sizes co...
<p>Spearman correlation of gene expression profiles is used to define the gene expression profiles s...
<p>This figure shows a scatterplot where each data point is a FANTOM5 library (points are colored-co...
<p>Gene expression of previously reported universally stably expressed reference genes was monitored...
<p>Genes have been grouped according to the number of data sets in which they displayed significant ...
<p>The bold line shows a correlation of expression profiles of the same gene in human vs in mouse. C...
<p>(A) Distribution of fold changes in gene expression (<i>y-axis</i>, log<sub>2</sub> scale) for ge...
(A) Comparison of predictive performance for each gene (R2) between each pair of populations. Predic...
<p>Correlation analysis based on Spearman’s rank correlation coefficient between gene expression dat...
<p>To identify co-expression patterns between multi-tissue eQTLs, correlations of expression levels ...
Contains fulltext : 138007.pdf (publisher's version ) (Open Access)BACKGROUND: A n...
The correlation coefficient is commonly used as a measure of the divergence of gene expression profi...