Publication date
October 2016
DOIAbstract
Clustering of Root-Expressed Genes. Temporal gene expression profile types were assigned by fuzzy C-means clustering
Clustering of Root-Expressed Genes. Temporal gene expression profile types were assigned by fuzzy C-means clustering
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
Motivation: Over the last decade, a large variety of clustering algorithms have been developed to de...
(A) Temporal profile and GO enrichment of two clusters from the male dataset. (B) Temporal profile a...
Summarization: Statistical evaluation of temporal gene expression profiles plays an important role i...
<p>Separate clusterings were made in log phase and PDS phase since growth phase was the most heavily...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>Clusters produced by the STEM algorithm and based on expression data of the differentially expres...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
The recent advances of array technologies have made it possible to monitor huge amount of genes expr...
The challenging issue in microarray technique is to analyze and interpret the large volume of data. ...
<p>The number of genes and their respective percentage of the total considered in this analysis (11,...
Classification of Genes by Expression Profile. Gene expression fold-change types were assigned to e...
BACKGROUND. Many microarray experiments produce temporal profiles in different biological conditions...
Background: A common approach for time series gene expression data analysis includes the clustering ...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
Motivation: Over the last decade, a large variety of clustering algorithms have been developed to de...
(A) Temporal profile and GO enrichment of two clusters from the male dataset. (B) Temporal profile a...
Summarization: Statistical evaluation of temporal gene expression profiles plays an important role i...
<p>Separate clusterings were made in log phase and PDS phase since growth phase was the most heavily...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>Clusters produced by the STEM algorithm and based on expression data of the differentially expres...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
The recent advances of array technologies have made it possible to monitor huge amount of genes expr...
The challenging issue in microarray technique is to analyze and interpret the large volume of data. ...
<p>The number of genes and their respective percentage of the total considered in this analysis (11,...
Classification of Genes by Expression Profile. Gene expression fold-change types were assigned to e...
BACKGROUND. Many microarray experiments produce temporal profiles in different biological conditions...
Background: A common approach for time series gene expression data analysis includes the clustering ...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
Motivation: Over the last decade, a large variety of clustering algorithms have been developed to de...
Add to ORKG