<p>The false discovery rate controlled p-values were k-means clustered to identify major patterns driving the differences in micro-RNA expression between different samples. The k-means cluster centers were themselves hierarchically clustered to identify the relationships between the different clusters.</p
<p>The scale bar indicates the log<sub>10</sub> expression ratio compared to 0 hr controls. Values i...
In cancer research, class discovery is the first process for investigating a new dataset for which h...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...
<p>The left panel shows the overall results for 446 RNA/protein pairs expressed as the log<sub>10</s...
Microarray technologyi provides an opportunity to monitor mRNA levels of expression of thousands of ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
<p>Correlation coefficient (cc) was generated to assess the relationship between the expression valu...
<p>Clustering as determined by the difference model for smRNA exon reads (<b>A</b>) and intron reads...
In recent years, the use of gene expression data has expanded to many areas of medical research, dru...
Abstracts--Data Mining has become an important topic in effective analysis of gene expression data d...
<p>miRNA expression profiles of 52 samples, 6-values were normalized using U6 snRNA to generate rela...
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of...
The process by which DNA is transformed into gene products, such as RNA and proteins, is called gene...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...
<p>The scale bar indicates the log<sub>10</sub> expression ratio compared to 0 hr controls. Values i...
In cancer research, class discovery is the first process for investigating a new dataset for which h...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...
<p>The left panel shows the overall results for 446 RNA/protein pairs expressed as the log<sub>10</s...
Microarray technologyi provides an opportunity to monitor mRNA levels of expression of thousands of ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
<p>Correlation coefficient (cc) was generated to assess the relationship between the expression valu...
<p>Clustering as determined by the difference model for smRNA exon reads (<b>A</b>) and intron reads...
In recent years, the use of gene expression data has expanded to many areas of medical research, dru...
Abstracts--Data Mining has become an important topic in effective analysis of gene expression data d...
<p>miRNA expression profiles of 52 samples, 6-values were normalized using U6 snRNA to generate rela...
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of...
The process by which DNA is transformed into gene products, such as RNA and proteins, is called gene...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...
<p>The scale bar indicates the log<sub>10</sub> expression ratio compared to 0 hr controls. Values i...
In cancer research, class discovery is the first process for investigating a new dataset for which h...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...