Data for "Profiling the transcriptomic age of single-cells in humans"

This is a supplementary data for the article titled "Profiling transcriptomic age of human single-cells". Data created in this project is shared here for the scientific community. 

Here we used available scRNA-seq data of 1,058,909 blood cells of 508 healthy, human donors, for developing cell-type-specific single-cell transcriptomic clocks and predicting the age of human blood cells.  We also applied our clocks to different external datasets and evaluated the age of single cells originated from COVID-19 patients and human embryos.

For the description of the content of the dataset see the ReadMe file.