Single Cell

This section allows the comparison of single-cell RNA-seq sets to the aging signature. The user can upload raw read counts of genes (rows containing gene symbols) of single-cells (columns). The first row of each columns should assign the group that the cells belong to.

Once the data is analyzed, a PCA plot will display the degree of separation of individual cells and their AS score (how closely related each cell is to physiological aging). A boxplot will also be displayed to how the population distribution.

Cell type 1:

Cell type 2:

Analyze my data

Try one of the example datasets below. You can download the example sets here.

Choose an example dataset SC_Grover_count_filteredcorr.csv SC_GSE100426_Mann_nostLTfilt.csv SC_GSE100426_SC_Mann_nostLT.csv SC_GSE59114_C57BL6_merged.csv SC_Kirshner_2t_merged.csv

Analyze example data