Humans can naturally and effectively find salient regions in complex scenes. Motivated by
this observation, attention mechanisms were introduced into computer vision with the aim of …

Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

Droplet microfluidics offers significant advantages for performing high-throughput screens
and sensitive assays. Droplets allow sample volumes to be significantly reduced, leading to …

While originally designed for natural language processing tasks, the self-attention
mechanism has recently taken various computer vision areas by storm. However, the 2D …

A major challenge in human genetics is to devise a systematic strategy to integrate disease-
associated variants with diverse genomic and biological data sets to provide insight into …

Background In a phase 2 trial, lenvatinib, an inhibitor of VEGF receptors 1–3, FGF receptors
1–4, PDGF receptor α, RET, and KIT, showed activity in hepatocellular carcinoma. We aimed …

ContextCarcinoma of the esophagus traditionally has been treated by surgery or radiation
therapy (RT), but 5-year overall survival rates have been only 5% to 10%. We previously …

Dendritic cells (DCs) have the capacity to initiate immune responses, but it has been
postulated that they may also be involved in inducing peripheral tolerance. To examine the …

We present SegNeXt, a simple convolutional network architecture for semantic
segmentation. Recent transformer-based models have dominated the field of se-mantic …

The irregular domain and lack of ordering make it challenging to design deep neural
networks for point cloud processing. This paper presents a novel framework named Point …