<p>The module map algorithm of Genomica software was executed to identify gene-sets (representing gene ontology biological functions) that are differentially expressed between 12 cell populations representing various stages and cell types of the pancreas. Each individual block represents the average expression of statistically enriched (yellow) or depleted (teal) genes based on a log2 scale (<i>P</i><0.05 and FDR<0.05, Cut-off values >1 or <−1, based on a log2 scale). Black blocks indicate that there was no significant enrichment or depletion of a gene-set. Because of resolution and space constraints not all gene set terms are displayed (signified with dots). Endocrine progenitor (EP).</p
Gene ontology (GO) enrichment analysis for endocrine cell subtypes. Left. Bar plot displaying the nu...
<p>The Cluster analysis was performed using Hierarchical cluster analysis. Rows represent differenti...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
(A) Human stem cell gene module map: a matrix of gene sets (rows) versus expression arrays (columns)...
(A) Heatmap showing the expression of the top 18 differentially expressed genes for each cell cluste...
<p>Each subplot shows an nbtSNE map of all cells, with marker size indicating log-expression level o...
(A) Total number of inferred replication cycle differentially expressed genes (DEGs) in each species...
A. A map with the Cellular Component terms listed (left), amino acid sequence conservation in 3 grou...
<p>(A) Graphs of the number of genes specific to each lineage. The gene lists and permutation tests ...
<p>(A) The union of human and mouse gene sets were analyzed using BiNGO software. Significantly enri...
<p>(A) Principal component analysis for samples with different cytogenetic abnormalities. (B-D) Circ...
<p>The 100 most differentially expressed genes between cancer cell subpopulations (CCSPs) C12 and C1...
<p>Each gene is represented as a box; red boxes indicate genes down-regulated in the MON810 variety ...
<p>Gene set enrichment analysis of models with impaired Insulin (a, c) or mitochondrial (b) function...
Gene-set enrichment analysis is a useful technique to help functionally characterize large gene list...
Gene ontology (GO) enrichment analysis for endocrine cell subtypes. Left. Bar plot displaying the nu...
<p>The Cluster analysis was performed using Hierarchical cluster analysis. Rows represent differenti...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
(A) Human stem cell gene module map: a matrix of gene sets (rows) versus expression arrays (columns)...
(A) Heatmap showing the expression of the top 18 differentially expressed genes for each cell cluste...
<p>Each subplot shows an nbtSNE map of all cells, with marker size indicating log-expression level o...
(A) Total number of inferred replication cycle differentially expressed genes (DEGs) in each species...
A. A map with the Cellular Component terms listed (left), amino acid sequence conservation in 3 grou...
<p>(A) Graphs of the number of genes specific to each lineage. The gene lists and permutation tests ...
<p>(A) The union of human and mouse gene sets were analyzed using BiNGO software. Significantly enri...
<p>(A) Principal component analysis for samples with different cytogenetic abnormalities. (B-D) Circ...
<p>The 100 most differentially expressed genes between cancer cell subpopulations (CCSPs) C12 and C1...
<p>Each gene is represented as a box; red boxes indicate genes down-regulated in the MON810 variety ...
<p>Gene set enrichment analysis of models with impaired Insulin (a, c) or mitochondrial (b) function...
Gene-set enrichment analysis is a useful technique to help functionally characterize large gene list...
Gene ontology (GO) enrichment analysis for endocrine cell subtypes. Left. Bar plot displaying the nu...
<p>The Cluster analysis was performed using Hierarchical cluster analysis. Rows represent differenti...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...