RT Journal Article
SR Electronic
T1 CODEX, a neural network approach to explore signaling dynamics landscapes
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.08.05.237842
DO 10.1101/2020.08.05.237842
A1 Marc-Antoine Jacques
A1 Maciej Dobrzyński
A1 Paolo Armando Gagliardi
A1 Raphael Sznitman
A1 Olivier Pertz
YR 2020
UL http://biorxiv.org/content/early/2020/08/06/2020.08.05.237842.abstract
AB Fluorescent biosensors routinely yield thousands of single-cell, heterogeneous, multi-dimensional 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.Competing Interest StatementThe authors have declared no competing interest.