Rahul Satija

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Comprehensive Integration of Single-Cell Data

Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new...

Integrated analysis of multimodal single-cell data

ezSingleCell is an interactive and easy-to-use application for the analysis of multiple single-cell and spatial omics data types for biologists. It combines the best-performing ...

Integrating single-cell transcriptomic data across different conditions, technologies, and species

Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and defin...

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets

Cells, the basic units of biological structure and function, vary broadly in type and state. Single-cell genomics can characterize cell identity and function, but limitations of...

Spatial reconstruction of single-cell gene expression data

Spatial localization is a key determinant of cellular fate and behavior, but methods for spatially resolved, transcriptome-wide gene expression profiling across complex tissues ...