<p><b>(A)</b> Heat map for the entire data set of genes and conditions illustrating marker progression throughout differentiation stages. The genes are organized according to the expression clusters found through hierarchical clustering. The treatments are denoted on the right hand side as prefixes to the gene names. BMP4 induction condition typically was found to cluster separately from the rest. Hierarchical clustering was performed on the mean centered and variance scaled data of transcription factor dynamics across all the four DE induction conditions. <b>(B)</b> Biplot of transcription factor dynamics assessed by principal component analysis on the mean data-set. The first component shows a demarcation of the undifferentiated and diffe...
(A) Patters were plotted on the heatmap using Treeview. Red represents up-regulated genes while gree...
<p><b>A</b>, Experimental representation of the time kinetic multilineage differentiation. <b>B</b>,...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>(a) Dendrogram of transcription factors. Clustering of 527 transcription factors expressed at sig...
<p><b>A)</b> Sample Hierarchical clustering represents the conditions that cluster together based on...
<p>The log2 transformed gene expression is indicated by the colour scale. Developmental gene express...
<p>Self-organizing tree algorithm (SOTA) analysis of gene expression data within the first 72 h of d...
<p><b>Copyright information:</b></p><p>Taken from "Harnessing naturally randomized transcription to ...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>(A) Principal component analysis (PCA) of the 27 microarrays of RNA samples taken in triplicate a...
<p>(A) Western blot analysis of Pak1 in the WT and Pak1 KO MEFs. The same membrane was probed with a...
<p>(<b>A</b>) Heat-maps indicating the fold-changes are shown as matrices with rows representing gen...
<p>All the experimental groups, including the corresponding controls (PBS 8 h and PBS – MEM 8 h), we...
Microarray data on the 976 significantly regulated mRNA species were used to calculate change in exp...
<p>Single-cell gene expression data were analyzed considering only self-renewing cells and cells ind...
(A) Patters were plotted on the heatmap using Treeview. Red represents up-regulated genes while gree...
<p><b>A</b>, Experimental representation of the time kinetic multilineage differentiation. <b>B</b>,...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>(a) Dendrogram of transcription factors. Clustering of 527 transcription factors expressed at sig...
<p><b>A)</b> Sample Hierarchical clustering represents the conditions that cluster together based on...
<p>The log2 transformed gene expression is indicated by the colour scale. Developmental gene express...
<p>Self-organizing tree algorithm (SOTA) analysis of gene expression data within the first 72 h of d...
<p><b>Copyright information:</b></p><p>Taken from "Harnessing naturally randomized transcription to ...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>(A) Principal component analysis (PCA) of the 27 microarrays of RNA samples taken in triplicate a...
<p>(A) Western blot analysis of Pak1 in the WT and Pak1 KO MEFs. The same membrane was probed with a...
<p>(<b>A</b>) Heat-maps indicating the fold-changes are shown as matrices with rows representing gen...
<p>All the experimental groups, including the corresponding controls (PBS 8 h and PBS – MEM 8 h), we...
Microarray data on the 976 significantly regulated mRNA species were used to calculate change in exp...
<p>Single-cell gene expression data were analyzed considering only self-renewing cells and cells ind...
(A) Patters were plotted on the heatmap using Treeview. Red represents up-regulated genes while gree...
<p><b>A</b>, Experimental representation of the time kinetic multilineage differentiation. <b>B</b>,...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...