Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

Purpose The purpose of this work is to survey the body of research revolving around big
data (BD) and analytics in hospitality and tourism, by detecting macro topical areas …

Pretrained neural network models for biological segmentation can provide good out-of-the-
box results for many image types. However, such models do not allow users to adapt the …

Identifying and characterizing mobile genetic elements in sequencing data is essential for
understanding their diversity, ecology, biotechnological applications and impact on public …

Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …

The continuing emergence of SARS-CoV-2 variants highlights the need to update COVID-19
vaccine compositions. However, immune imprinting induced by vaccination based on the …

Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However,
quantifiable risk factors for PASC and their biological associations are poorly resolved. We …

Viruses are widely recognized as critical members of all microbiomes. Metagenomics
enables large-scale exploration of the global virosphere, progressively revealing the …

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal and treatment-refractory
cancer. Molecular stratification in pancreatic cancer remains rudimentary and does not yet …

CD8+ T cell responses are critical for anti-tumor immunity. While extensively profiled in the
tumor microenvironment, recent studies in mice identified responses in lymph nodes (LNs) …