Variable deep learning training horizons reveal the temporal complexity of biological systems
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The increasing quantity of time-series images presents new opportunities for extracting biological insights from data. Here, we introduce a deep learning framework with a variable input sequence length to predict cell and colony morphologies. We apply this fra... ...
