The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …

Acral melanoma is a dismal subtype of melanoma occurring in glabrous acral skin, and has
a higher incidence in East Asians. We perform single-cell RNA sequencing for 63,394 cells …

Self-supervised learning (SSL) has emerged as a powerful method for extracting meaningful
representations from vast, unlabelled datasets, transforming computer vision and natural …

Deep learning (DL) has shown potential to provide powerful representations of bulk RNA-
seq data in cancer research. However, there is no consensus regarding the impact of design …

Single-cell RNA sequencing (scRNA-seq) measures transcriptome-wide gene expression at
single-cell resolution. Clustering analysis of scRNA-seq data enables researchers to …

Reliable large-scale cell detection and segmentation is the fundamental first step to
understanding biological processes in the brain. The ability to phenotype cells at scale can …

The rapidly evolving realm of single-cell transcriptomics offers vital new perspectives into the
understanding of intra-and inter-cellular molecular dynamics governing development …

Integration of accumulative large-scale single-cell transcriptomes requires scalable batch-
correction approaches. Here we propose Fugue, a simple and efficient batch-correction …

Reliable large-scale cell detection and segmentation is the fundamental first step to
understanding biological processes in the brain. The ability to phenotype cells at scale can …