Here, we used deep full-length single-cell RNA-sequencing to distinguish post-mitotic cone and rod developmental states and cone-specific features that contribute to retinoblastomagenesis. The ...
This basic research study presents useful data concerning the menstrual fluid composition and its potential for endometriosis biomarker research. However, despite solid bioinformatics analyses, the ...
A recent study leveraging single-cell RNA sequencing (scRNA-seq) has uncovered vital molecular mechanisms underlying NB's progression and metastasis, shedding light on potential therapeutic targets.
Researchers developed SCimilarity, a groundbreaking metric-learning framework, to rapidly analyze and compare single-cell data across tissues, diseases, and experimental conditions. This tool enables ...