专题:Single-cell and spatial transcriptomics

This cluster of papers focuses on the comprehensive integration and analysis of single-cell transcriptomic data, covering topics such as cell types, spatial profiling, lineage tracking, data integration, gene expression, and cell heterogeneity. The research explores various technologies and computational methods to study the transcriptomic landscape at the single-cell level.
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Dictionary learning for integrative, multimodal and scalable single-cell analysis

article Full Text OpenAlex 4806 FWCI685.1626

Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays

article Full Text OpenAlex 1694 FWCI127.1648

Human organs-on-chips for disease modelling, drug development and personalized medicine

review Full Text OpenAlex 1391 FWCI95.8749

Single‐cell RNA sequencing technologies and applications: A brief overview

review Full Text OpenAlex 1273 FWCI97.6248

Cell2location maps fine-grained cell types in spatial transcriptomics

article Full Text OpenAlex 1231 FWCI95.0261

CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data

article Full Text OpenAlex 1228 FWCI94.3331

Museum of spatial transcriptomics

review Full Text OpenAlex 1198 FWCI90.9548

Cross-tissue immune cell analysis reveals tissue-specific features in humans

article Full Text OpenAlex 1143 FWCI86.4504

Methods and applications for single-cell and spatial multi-omics

review Full Text OpenAlex 1130 FWCI158.9094

GSEApy: a comprehensive package for performing gene set enrichment analysis in Python

article Full Text OpenAlex 1109 FWCI79.9536