<p>Differentially expressed genes were clustered into 28-means clusters (JMP Genomics, SAS 9.2) as this is the lowest number of clusters which allows a minimum correlation coefficient of R = 0.6 between any one expression profile and its other cluster members. The x- and y-axes represent age in weeks and relative fold change, respectively. Cluster color is arbitrary. These data illustrate the various biological patterns of kidney expression which exist during pre-pubertal, early adult and aged rat life stages.</p
This article describes and illustrates a novel method of microarray data analysis that couples model...
<p>Clustering of genes across all samples using the self-organizing maps. We assigned the following ...
<p>Horizontal length indicates relative relatedness of age-dependent gene expression levels based on...
Age is a predisposing condition for susceptibility to chronic kidney disease and progression as well...
Age is a predisposing condition for susceptibility to chronic kidney disease and progression as well...
<div><p>Age is a predisposing condition for susceptibility to chronic kidney disease and progression...
Abstract Recent single-cell RNA sequencing (scRNA-seq) analyses have offered much insight into the g...
<p>Rows correspond to age-regulated genes, ordered from most highly induced to most highly repressed...
<p>A hierarchical clustered heat map showing the log<sub>2</sub> transformed expression values for d...
Transcriptional analysis of the molecular basis of human kidney aging using cDNA microarray profilin...
<p>(A) All relevant genes are listed according to their average expression values. Each column corre...
<p>A) Representative kidney histology (H&E stain; scale bar: 500 mm); B) PCA plot: genotype and age ...
<p>Heirarchical clustering of the 165 probe sets that showed age-dependent changes in rTg4510 mice (...
Organogenesis is a multistage process, but it has been difficult, by conventional analysis, to separ...
Summarization: Clustering analysis based on temporal profile of genes may provide new insights in pa...
This article describes and illustrates a novel method of microarray data analysis that couples model...
<p>Clustering of genes across all samples using the self-organizing maps. We assigned the following ...
<p>Horizontal length indicates relative relatedness of age-dependent gene expression levels based on...
Age is a predisposing condition for susceptibility to chronic kidney disease and progression as well...
Age is a predisposing condition for susceptibility to chronic kidney disease and progression as well...
<div><p>Age is a predisposing condition for susceptibility to chronic kidney disease and progression...
Abstract Recent single-cell RNA sequencing (scRNA-seq) analyses have offered much insight into the g...
<p>Rows correspond to age-regulated genes, ordered from most highly induced to most highly repressed...
<p>A hierarchical clustered heat map showing the log<sub>2</sub> transformed expression values for d...
Transcriptional analysis of the molecular basis of human kidney aging using cDNA microarray profilin...
<p>(A) All relevant genes are listed according to their average expression values. Each column corre...
<p>A) Representative kidney histology (H&E stain; scale bar: 500 mm); B) PCA plot: genotype and age ...
<p>Heirarchical clustering of the 165 probe sets that showed age-dependent changes in rTg4510 mice (...
Organogenesis is a multistage process, but it has been difficult, by conventional analysis, to separ...
Summarization: Clustering analysis based on temporal profile of genes may provide new insights in pa...
This article describes and illustrates a novel method of microarray data analysis that couples model...
<p>Clustering of genes across all samples using the self-organizing maps. We assigned the following ...
<p>Horizontal length indicates relative relatedness of age-dependent gene expression levels based on...