Best practices for single-cell analysis across modalities
Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
Gene regulatory network inference in the era of single-cell multi-omics
The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …
Benchmarking algorithms for single-cell multi-omics prediction and integration
Y Hu, S Wan, Y Luo, Y Li, T Wu, W Deng, C Jiang… - Nature …, 2024 - nature.com
The development of single-cell multi-omics technology has greatly enhanced our
understanding of biology, and in parallel, numerous algorithms have been proposed to …
understanding of biology, and in parallel, numerous algorithms have been proposed to …
Optimal transport for single-cell and spatial omics
High-throughput single-cell profiling provides an unprecedented ability to uncover the
molecular states of millions of cells. These technologies are, however, destructive to cells …
molecular states of millions of cells. These technologies are, however, destructive to cells …
Dandelion uses the single-cell adaptive immune receptor repertoire to explore lymphocyte developmental origins
Assessment of single-cell gene expression (single-cell RNA sequencing) and adaptive
immune receptor (AIR) sequencing (scVDJ-seq) has been invaluable in studying …
immune receptor (AIR) sequencing (scVDJ-seq) has been invaluable in studying …
[HTML][HTML] Automatic cell-type harmonization and integration across Human Cell Atlas datasets
Harmonizing cell types across the single-cell community and assembling them into a
common framework is central to building a standardized Human Cell Atlas. Here, we present …
common framework is central to building a standardized Human Cell Atlas. Here, we present …
Considerations for building and using integrated single-cell atlases
The rapid adoption of single-cell technologies has created an opportunity to build single-cell
'atlases' integrating diverse datasets across many laboratories. Such atlases can serve as a …
'atlases' integrating diverse datasets across many laboratories. Such atlases can serve as a …
Single-cell omics: experimental workflow, data analyses and applications
Cells are the fundamental units of biological systems and exhibit unique development
trajectories and molecular features. Our exploration of how the genomes orchestrate the …
trajectories and molecular features. Our exploration of how the genomes orchestrate the …
Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data
Background Single-cell RNA-sequencing (scRNA-seq) measures gene expression in single
cells, while single-nucleus ATAC-sequencing (snATAC-seq) quantifies chromatin …
cells, while single-nucleus ATAC-sequencing (snATAC-seq) quantifies chromatin …
scPerturb: harmonized single-cell perturbation data
Abstract Analysis across a growing number of single-cell perturbation datasets is hampered
by poor data interoperability. To facilitate development and benchmarking of computational …
by poor data interoperability. To facilitate development and benchmarking of computational …