In the randomized search, we searched across 200 different combinations of hyperparameters and then created the hyperparameter grid encompassing the optimal sampled hyperparameter combination from the randomized search. An exhaustive search was used to select the best-performing set of hyperparameters from...
In the randomized search, we searched across 200 different combinations of hyperparameters and then created the hyperparameter grid encompassing the optimal sampled hyperparameter combination from the randomized search. An exhaustive search was used to select the best-performing set of hyperparameters from...
Figure 2. Time Point Selection Analysis of Lung Differentiation by NanoString Predicts Optimal Time Points for Global Transcriptomic scRNS-seq Profiling (A) Representative sort gates of iPSCs sorted on NKX2-1GFP+ versus NKX2-1GFP– on day 17 of differentiation. (B) Schematic of differentiation...