Tumor microenvironment (TME) is a specialized ecosystem of host components, designed
by tumor cells for successful development and metastasis of tumor. With the advent of 3D …

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

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

Large pretrained models have become foundation models leading to breakthroughs in
natural language processing and related fields. Develo** foundation models for …

Transcriptional heterogeneity among malignant cells of a tumor has been studied in
individual cancer types and shown to be organized into cancer cell states; however, it …

Inferring single-cell compositions and their contributions to global gene expression changes
from bulk RNA sequencing (RNA-seq) datasets is a major challenge in oncology. Here we …

Consistent annotation transfer from reference dataset to query dataset is fundamental to the
development and reproducibility of single-cell research. Compared with traditional …

Transplantation of pancreatic islet cells derived from human pluripotent stem cells is a
promising treatment for diabetes. Despite progress in the generation of stem-cell-derived …

Large single-cell atlases are now routinely generated to serve as references for analysis of
smaller-scale studies. Yet learning from reference data is complicated by batch effects …