This guide provides researchers and drug development professionals with a comprehensive tutorial on automated cell type annotation tools for single-cell RNA sequencing (scRNA-seq) data.
Accurately annotating novel and rare cell populations remains a significant challenge in single-cell RNA sequencing analysis.
This article provides a comprehensive analysis for researchers and drug development professionals navigating the critical choice between manual and automated data annotation.
This comprehensive review explores the critical role of unsupervised clustering in single-cell RNA sequencing for cell type identification, addressing both foundational concepts and cutting-edge methodologies.
Single-cell RNA sequencing (scRNA-seq) has revolutionized biomedical research by enabling the precise dissection of cellular heterogeneity, revealing previously hidden cell types, states, and dynamics within tissues.
This article provides a comprehensive overview of the modern frameworks and technologies used to define cell identity and states, crucial for advancing drug development and disease research.
This article provides a comprehensive overview of marker gene databases and their pivotal role in single-cell RNA sequencing (scRNA-seq) data annotation.
Cell type annotation is a fundamental yet challenging step in single-cell RNA sequencing (scRNA-seq) analysis, bridging computational clustering results to biological meaning by identifying the cell types present in a...
This comprehensive guide provides researchers and drug development professionals with current best practices for manual cell type annotation in single-cell RNA sequencing data.
This article provides a comprehensive analysis of viral vector structure-function relationships, bridging fundamental virology with therapeutic development.