Publications by authors named "Sarah X Morillo Leonardo"
Article Synopsis
- The rise of single-cell RNA-sequencing (scRNA-seq) datasets has led to many new computational tools, prompting the need for benchmark studies to evaluate the performance of these methods compared to existing ones.
- This study focuses on assessing synthetic scRNA-seq data generation methods to see how well they replicate actual experimental data, analyzing both gene and cell quality controls and their effects on clustering and batch correction comparisons.
- Findings indicate that many simulators struggle with complex designs, often giving overly positive evaluations of integration performance and leading to uncertain conclusions about the effectiveness of different clustering methods.
