
Cellograph – a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks
With the growing number of single-cell datasets collected under more complex experimental conditions, there is…
With the growing number of single-cell datasets collected under more complex experimental conditions, there is…
Non-cancerous cells called stromal cells, which are found in and around prostate tumors, may be…
RNA fate and function are affected by their structures and interactomes. However, how RNA and…
Clinical exome and genome sequencing have revolutionized the understanding of human disease genetics. Yet many…
CRISPR screens with single-cell transcriptomic readouts are a valuable tool to understand the effect of…
Deciphering the cell-state transitions underlying immune adaptation across time is fundamental for advancing biology. Empirical in vivo…
In experiments with significant perturbations to transcription, nascent RNA sequencing protocols are dependent on external…
A major goal of regenerative medicine is to generate tissue-specific mature and functional cells. However,…
Researchers from Osaka University find characteristic changes in CD4+ T cell categories and gene programs…
Researchers from Tokyo Medical and Dental University (TMDU) use various technologies to better characterize a…