(A) Sample dendrogram and color bar representing optimized identified clusters for the WGCNA method of clustering on the scRNA-Seq example data. The dendrogram shows the 2- and 4-cell samples clustering together, with the Late Blastocysts forming a unique cluster. (B) The first three biclusters were generated using QUBIC on the IRIS-EDA server. The first two biclusters (69 and 49 genes) show the grouping of Oocyte, Zygote, and 2- and 4-cell samples and Oocytes, Zygote, and 2-, 4-, and 8-cell samples, respectively. The third bicluster (52 genes) separates the Late Blastocysts from the other samples. These three biclusters demonstrate the expression similarity between the Oocyte, Zygote, and multi-cell samples relative to the Late Blastocyst ...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
DNA microarray technologies are used extensively to profile the expression levels of thousands of ge...
Many real-life datasets, such as those produced by gene expression studies, exhibit complex substruc...
<p>Measurements of the 308 genes discriminating CC<sub>B-</sub> and CC<sub>B+</sub> were extracted f...
The dendrogram indicates the gene clustering based on the TOM dissimilarity measure and each line in...
Motivation: Biclustering has been emerged as a powerful tool for identification of a group of co-exp...
Summary: Besides classical clustering methods such as hierarchical cluste-ring, in recent years bicl...
In a number of domains, like in DNA microarray data analysis, we need to cluster simultaneously rows...
(A) Co-clustering heatmaps show the proportion of 100 clustering iterations that each pair of nuclei...
Abstract- Microarray technology is a powerful method for monitoring the expression level of thousand...
DNA microarray technology has made it possible to simultaneously monitor the expression levels of th...
Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a p...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
DNA microarray technologies are used extensively to profile the expression levels of thousands of ge...
Hierarchical clustering analysis by transcript abundance only (rows) using q-PCR data of 44 genes (g...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
DNA microarray technologies are used extensively to profile the expression levels of thousands of ge...
Many real-life datasets, such as those produced by gene expression studies, exhibit complex substruc...
<p>Measurements of the 308 genes discriminating CC<sub>B-</sub> and CC<sub>B+</sub> were extracted f...
The dendrogram indicates the gene clustering based on the TOM dissimilarity measure and each line in...
Motivation: Biclustering has been emerged as a powerful tool for identification of a group of co-exp...
Summary: Besides classical clustering methods such as hierarchical cluste-ring, in recent years bicl...
In a number of domains, like in DNA microarray data analysis, we need to cluster simultaneously rows...
(A) Co-clustering heatmaps show the proportion of 100 clustering iterations that each pair of nuclei...
Abstract- Microarray technology is a powerful method for monitoring the expression level of thousand...
DNA microarray technology has made it possible to simultaneously monitor the expression levels of th...
Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a p...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
DNA microarray technologies are used extensively to profile the expression levels of thousands of ge...
Hierarchical clustering analysis by transcript abundance only (rows) using q-PCR data of 44 genes (g...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
DNA microarray technologies are used extensively to profile the expression levels of thousands of ge...
Many real-life datasets, such as those produced by gene expression studies, exhibit complex substruc...