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

Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

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

Map** single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …

Despite the emergence of experimental methods for simultaneous measurement of multiple
omics modalities in single cells, most single-cell datasets include only one modality. A major …

The recent development of experimental methods for measuring chromatin state at single-
cell resolution has created a need for computational tools capable of analyzing these …

The assay for transposase-accessible chromatin using sequencing (ATAC-seq) provides a
simple and scalable way to detect the unique chromatin landscape associated with a cell …

The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally
conserved across mammals. Here, using high-throughput transcriptomic and epigenomic …

In triple-negative breast cancer (TNBC), the benefit of combining chemotherapy with
checkpoint inhibitors is still not very clear. We utilize single-cell RNA-and ATAC-sequencing …

Here we report the generation of a multimodal cell census and atlas of the mammalian
primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network …