Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning. Currently, estimating the quantity of labeled data needed to train a classifier to ...

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...

Spatial transcriptomics offers significant advantages over bulk or single cell transcriptomics. Bulk transcriptomics is unable to reveal tissue-wide patterning and disease-promoting cell niches.

Implementation of the Time-to-Event Continuous Reassessment Method Design in a Phase I Platform Trial Testing Novel Radiotherapy-Drug Combinations—CONCORDE BayeSize applies the concept of effect size ...