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Table 5 Prediction results of PLS regression using top vital signaling metrics.

From: Data-driven modeling of cellular stimulation, signaling and output response in RAW 264.7 cells

  G-CSF IL-1α IL-6 IL-10 MIP-1α RANTES TNFα
Numb. of metrics 1 1 14 34 46 1 38
R 2 88.0 ± 0.27% 51.4 ± 0.55% 64.2 ± 2.41% 56.6 ± 2.61% 49.4 ± 2.42% 75.0 ± 0.60% 66.3 ± 1.84%
  1. For each cytokine, a PLS regression model using from 1 to 46 of the most informative signaling metrics can achieve an average R 2 greater than 85% of the maximum averaged R 2. Values are means ± standard deviation. Numb. of metrics = Number of most informative metrics used in the regression.