Fig. 7: Development of the TockyConvNet for Quantitative Assessment of Thymus and Spleen Characteristics in Foxp3 Transcriptional Dynamics.
From: Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer
a Diagram of the ConvNet architecture for the age-adjusted TockyConvNet classifier and continuous score models. b ROC and Precision-Recall curve analysis using the TockyConvNet classifier. c Thymus-Spleen Continuous Score data from the TockyConvNet continuous score model analysing an independent test dataset, using linear age values (left) and log2-transformed age values (right).
