Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq). Design We performed unbiased transcriptome-wide ...

Installation should take less than a minute on a standard machine. The input to scDist is a normalized count matrix and correpsonding metadata that describes what condition and patient each cell ...

163.com Objectives The heterogeneity of meniscus cells and the mechanism of meniscus degeneration is not well understood. Here, single-cell RNA sequencing (scRNA-seq) was used to identify various ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. The genomic, genetic and cellular events ...

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 ...

Abstract: Machine learning techniques have become increasingly important in analyzing single-cell RNA and identifying cell types, providing valuable insights into cellular development and disease ...