This is a first deep learned transcriptome-based classifier designed to identify embryonic score of a sample, a comprehensive metric that shows how close this sample is to the embryonic state. You can select files from GEO or upload them directly from your computer. Embryonic Ai is an ensemble of deep neural networks trained and validated on thousands of transcriptomics samples representative of healthy embryonic stem cell (ESC), induced pluripotent stem cell (iPSC), embryonic progenitor cell (EPC), adult stem cell (ASC) and adult cell (AC) types. DNN ensemble outputs the Embryonic Score (E score) which acts as an integrative measure of cell development stage, where ES=1 and ES=0 is representative of a embryonic and adult cellular states, respectively.
Insilico Medicine on ResearchGate