Causality is a complex concept, which roots its developments across several fields, such as
statistics, economics, epidemiology, computer science, and philosophy. In recent years, the …

Gene regulatory network is a complicated set of interactions between genetic materials,
which dictates how cells develop in living organisms and react to their surrounding …

Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete
description of specific immune biomarkers. We present here a comprehensive multi-omic …

Although clonal neo-antigen burden is associated with improved response to immune
therapy, the functional basis for this remains unclear. Here we study this question in a novel …

While single-cell gene expression experiments present new challenges for data processing,
the cell-to-cell variability observed also reveals statistical relationships that can be used by …

This paper demonstrates how to use the R package stm for structural topic modeling. The
structural topic model allows researchers to flexibly estimate a topic model that includes …

High-throughput sequencing based techniques, such as 16S rRNA gene profiling, have the
potential to elucidate the complex inner workings of natural microbial communities-be they …

How should one quantify the strength of association between two random variables without
bias for relationships of a specific form? Despite its conceptual simplicity, this notion of …

Graphical models provide visual representations of the qualitative structure of our beliefs
between collections of random quantities. Bayesian Networks are directed acyclic graphical …

DNA sequencing has identified recurrent mutations that drive the aggressiveness of prostate
cancers. Surprisingly, the influence of genomic, epigenomic, and transcriptomic …