Journal of Molecular Signaling

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%

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.

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