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bioRxiv · 10.1101/2020.08.05.237842

CODEX, a neural network approach to explore signaling dynamics landscapes

Jacques, M.-A.·Dobrzynski, M.·Gagliardi, P. A.·Sznitman, R.·Pertz, O.
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Abstract

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.

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Jacques, M.-A., Dobrzynski, M., Gagliardi, P. A., Sznitman, R., Pertz, O.. 2020-08-06. CODEX, a neural network approach to explore signaling dynamics landscapes. https://doi.org/10.1101/2020.08.05.237842

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