Conflicting findings are often reported in microbiome association studies, which could be due to insufficient sample sizes and numerous confounders. A new study, utilizing two large-scale human ...

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 ...