Masanao Yajima

TL;DR: This work argues that the cellular detection rate, the fraction of genes expressed in a cell, should be adjusted for as a source of nuisance variation and provides gene set enrichment analysis tailored to single-cell data.

TL;DR: In this article, the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian perspective, and a multilevel model is proposed to address the multiple comparisons problem and also yield more efficient estimates.

TL;DR: The mi package in R has features that allow the user to get inside the imputation process and evaluate the reasonableness of the resulting models and imputations, and uses Bayesian models and weakly informative prior distributions to construct more stable estimates of imputation models.

TL;DR: A new methodology to analyze single-cell transcriptomic data is presented that models this bimodality within a coherent generalized linear modeling framework, and the cellular detection rate, the fraction of genes turned on in a cell, is introduced.

TL;DR: It is shown that 3 months of rapamycin treatment is sufficient to increase life expectancy by up to 60% and improve measures of healthspan in middle-aged mice and this transient treatment is also associated with a remodeling of the microbiome, including dramatically increased prevalence of segmented filamentous bacteria in the small intestine.