Fig. 1
From: A quantitative prediction method utilizing whole omics data for biosensing
Flowchart of the prediction process using OmicSense. (a) The OmicSense prediction model is based on the model elements reflecting the relationship between each predictor variable (x) and the target values (y). (b) The values of x in new sample data are transformed into probability distributions of the y values using the model element library. (c) The most likely y value (y*) is obtained by combining the distributions.
