Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.05.237842v1?rss=1 Authors: Jacques, M.-A., Dobrzynski, M., Gagliardi, P. A., Sznitman, R., Pertz, O. Abstract: Fluorescent biosensors routinely yield thousands of single-cell, heterogeneous, multidimensional signaling trajectories that are difficult to mine for relevant information. We present CODEX, an approach based on artificial neural networks to guide exploration of time-series datasets and to identify motifs in dynamic signaling states. Copy rights belong to original authors. Visit the link for more info