Marina Bogomolov

TL;DR: In this article, the authors formulate the concern about selective inference in its generality, for a very wide class of error rates and for any selection criterion, and present an adjustment of the testing level inside the selected families that retains control of the expected average error over the selected family.

TL;DR: This work forms this concern about selective inference in its generality, for a very wide class of error rates and for any selection criterion, and presents an adjustment of the testing level inside the selected families that retains control of the expected average error over theselected families.

TL;DR: In this article, a simple hierarchical testing procedure was proposed to control the false discovery rate and the expected value of the average proportion of false discovery of phenotypes influenced by such variants.

TL;DR: A formal method to declare that findings from a primary study have been replicated in a follow-up study is proposed, appropriate for primary studies that involve large-scale searches for rare true positives (i.e., needles in a haystack).

TL;DR: By analyzing multitissue gene expression and genome-wide genetic variation data in samples from a vervet monkey pedigree, a transcriptome resource and the first catalog of expression quantitative trait loci (eQTLs) in a nonhuman primate model are generated.