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Challenges and emerging directions in single-cell analysis.
Guo-Cheng Yuan1,2, Long Cai3, Michael Elowitz4
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. gcyuan@jimmy.harvard.edu.
Genome Biology
|May 10, 2017
Summary
Single-cell analysis reveals cellular heterogeneity in development and disease. Advanced technologies offer insights but face challenges in data analysis, integration, and interpretation for future opportunities.
Area of Science:
- Genomics and Molecular Biology
- Bioinformatics and Computational Biology
Background:
- Single-cell analysis is a powerful technique for examining molecular information at the individual cell level.
- It has become crucial for understanding cellular heterogeneity in various biological contexts, including development and disease.
