Proteome activity landscapes of tumor cell lines determine drug responses | Nature Communications
Seurat - Guided Clustering Tutorial • Seurat
Single-nucleus transcriptome analysis reveals dysregulation of angiogenic endothelial cells and neuroprotective glia in Alzheimer's disease | PNAS
Combinatorial prediction of marker panels from single‐cell transcriptomic data | Molecular Systems Biology
Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling | Nature Methods
Data visualization methods in Seurat • Seurat
Single-cell resolution analysis of the human pancreatic ductal progenitor cell niche | PNAS
Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology
A rank-based marker selection method for high throughput scRNA-seq data | BMC Bioinformatics | Full Text
A rank-based marker selection method for high throughput scRNA-seq data | BMC Bioinformatics | Full Text
Quick start to Harmony • harmony
Chapter 11 Marker gene detection | Orchestrating Single-Cell Analysis with Bioconductor
FindMarkers with several dataset (4) · Issue #836 · satijalab/seurat · GitHub
GSEA User Guide
Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology
8 Biological Analysis | Analysis of single cell RNA-seq data
Chapter 11 Marker gene detection | Orchestrating Single-Cell Analysis with Bioconductor
A molecular cell atlas of the human lung from single-cell RNA sequencing | Nature
How to interpret the output of FindConservedMarkers · Issue #1705 · satijalab/seurat · GitHub
A rank-based marker selection method for high throughput scRNA-seq data | BMC Bioinformatics | Full Text
FindMarkers with several dataset (4) · Issue #836 · satijalab/seurat · GitHub
Tutorial - Spatial Gene Expression -Software -Spatial Gene Expression -Official 10x Genomics Support
A rank-based marker selection method for high throughput scRNA-seq data | BMC Bioinformatics | Full Text
Plotting heatmap of Marker genes in each celltypes in Seurat
Trajectory-based differential expression analysis for single-cell sequencing data | Nature Communications
