CellView


This app is designed for exploratory data analysis of processed RNA-Seq data of single cell experiments.



Information:

  • Clustering :Clustering was performed with t-SNE followed by identification using DBSCAN
  • Cluster 0 :Cells that cannot be assigned to any cluster
  • 3D Plot :Enter gene name to visualize expression in a single cell
  • 2D Plot :Pick a cluster, highlight cells of interest to download gene expression matrix





  • Panel plot :Select a cluster. Enter ONE or MULTIPLE gene ids to visualize expression in all clusters
  • Subclustering :Select a group of cells in plot1 based based on a single gene expression. Enter multiple gene ids to assess the co-expression of genes in these cells
  • Binary Expression :Select a cluster. Enter ONE or MULTIPLE gene ids to assess the co-expression of genes in these cells. Highlighted cells have all genes expressed as determined by a GMM
Download Expression +ve Cells in cluster



Positive Cells in all clusters

  • Subclustering :Select a group of cells in plot1 and a different group of cells in plot2 for identifying differential features between these subclusters

Top Differentially Expressed Genes

Download DGE Table