K-means clustering of differentially expressed genes changing over time (DEGots) from E6.5 to E17.5. The 5405 DEGots are clustered by K-means algorithm. n: number of genes in each cluster.</p
<p>Bayesian cluster analysis of genes with ‘inflammation’ gene ontology resulted in 4 clusters A, B,...
<p>Differentially expressed genes across all four time-points were grouped into six patterns using t...
<p>The heatmap shows the K-means clustering of transformed expression values for lncRNAs and mRNAs. ...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
<p>The x-axis indicates the molting stage. The y-axis indicates the log<sub>2</sub>(ratio) of gene e...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
<p>K-means clustering of differentially expressed genes identified as CAZymes (summarized in <a href...
Data mining technique used in the field of clustering is a subject of active research and assists in...
<p>K-means clustering was used for statistical processing of disease-associated genes, we identified...
Includes bibliographical references (pages 30-31).As the role of large scale data analysis continues...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...
Sixteen clusters were obtained using the STEM software. The coloured clusters represent a significan...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
Abstracts--Data Mining has become an important topic in effective analysis of gene expression data d...
<p>Bayesian cluster analysis of genes with ‘inflammation’ gene ontology resulted in 4 clusters A, B,...
<p>Differentially expressed genes across all four time-points were grouped into six patterns using t...
<p>The heatmap shows the K-means clustering of transformed expression values for lncRNAs and mRNAs. ...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
<p>The x-axis indicates the molting stage. The y-axis indicates the log<sub>2</sub>(ratio) of gene e...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
<p>K-means clustering of differentially expressed genes identified as CAZymes (summarized in <a href...
Data mining technique used in the field of clustering is a subject of active research and assists in...
<p>K-means clustering was used for statistical processing of disease-associated genes, we identified...
Includes bibliographical references (pages 30-31).As the role of large scale data analysis continues...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...
Sixteen clusters were obtained using the STEM software. The coloured clusters represent a significan...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
Abstracts--Data Mining has become an important topic in effective analysis of gene expression data d...
<p>Bayesian cluster analysis of genes with ‘inflammation’ gene ontology resulted in 4 clusters A, B,...
<p>Differentially expressed genes across all four time-points were grouped into six patterns using t...
<p>The heatmap shows the K-means clustering of transformed expression values for lncRNAs and mRNAs. ...
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