Gene expression analyses of bulk tissues often ignore cell type composition as an important
confounding factor, resulting in a loss of signal from lowly abundant cell types. In this review …

The application of multi-attribute utility theory whose aggregation process is based on the
Choquet integral requires the prior identification of a capacity. The main approaches to …

In this paper, we propose a new multiple-input multiple-output (MIMO) communication
system with movable antennas (MAs) to exploit the antenna position optimization for …

A limitation of spatial transcriptomics technologies is that individual measurements may
contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial …

Using integrative genomic analysis of 360 metastatic castration-resistant prostate cancer
(mCRPC) samples, we identified a novel subtype of prostate cancer typified by biallelic loss …

Inflation forecasting is an important but difficult task. Here, we explore advances in machine
learning (ML) methods and the availability of new datasets to forecast US inflation. Despite …

This paper considers a movable antenna (MA)-aided secure multiple-input multiple-output
(MIMO) communication system consisting of a base station (BS), a legitimate information …

A central problem in spatial transcriptomics is detecting differentially expressed (DE) genes
within cell types across tissue context. Challenges to learning DE include changing cell type …

phytools: an R package for phylogenetic comparative biology (and other things) Page 1
APPLICATION phytools: an R package for phylogenetic comparative biology (and other things) …

We introduce a general method for sample size computations in the context of cross-
sectional network models. The method takes the form of an automated Monte Carlo …