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Prediction of gestational age (A) and of time from sample to a spontaneous term delivery (B) is shown. Each dot corresponds to a sample. Random forest predictions are obtained via cross-validation, in which, data from all samples of a given patient are left out when selecting predictor proteins and training the model. ρ: correlation coefficient.
