This study provides useful insights into addressing the question of whether the prevalence of autoimmune disease could be driven by sex differences in the T cell receptor (TCR) repertoire, correlating ...

Spatial RNA medicine combines transcriptomics and RNA therapeutics, mapping gene expression in tissues to enhance precision ...

The universal features that define genomic regions acting as replication origins remain unclear. In this study, we mapped a set of origins in Trypanosoma brucei using stranded short nascent strand ...

Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...

Single-cell sequencing provides unprecedented detail into cell-to-cell variability, uncovering key biological mechanisms in ...

Cell clustering can vary wildly depending on algorithm settings like the random seed — even with the exact same data. scICE automatically detects and removes unstable groupings, giving researchers ...

Abstract: The identification of cell types by clustering single-cell RNA sequencing (scRNA-seq) data is a fundamental step in the downstream analysis of single-cell data. However, great challenges ...

This project constructed a nonnegative matrix factorization model integrating two scRNA-seq. This model is called the Integrated Nonnegative Low Rank Matrix Factorization (INLRMF), which can ...