Advancing single-cell RNA-seq data analysis through the fusion of multi-layer perceptron and graph neural network
The advancement of single-cell sequencing technology has smoothed the ability to do biological studies at…
The advancement of single-cell sequencing technology has smoothed the ability to do biological studies at…
High-resolution atlas charts neural neighborhoods for more than 5,300 cell types Six years and 32…
Plate-based single-cell glycan and RNA sequencing (scGR-seq) is previously developed to realize the integrated analysis…
Single-cell RNA-seq analysis coupled with CRISPR-based perturbation has enabled the inference of gene regulatory networks…
Enhancers and transcription factors (TFs) are crucial in regulating cellular processes, including disease-associated cell states.…
The cellular and molecular heterogeneity of tumors is a major obstacle to cancer immunotherapy. Here,…
Single cell transcriptomics has recently seen a surge in popularity, leading to the need for…
Back in 2018, the lab of Christine Mayr, MD, PhD, at Memorial Sloan Kettering Cancer Center…
Single-cell and single-nucleus RNA-sequencing (sxRNA-seq) is increasingly being used to characterise the transcriptomic state of…
Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression at the individual cell…