Optimizing t-SNE for Biological Data: Kernel Selection for Enhanced Efficiency

This research explores improvements to t-SNE, a dimensionality reduction technique crucial for visualizing complex datasets like those from sequencing. The focus on kernel selection suggests an investigation into algorithmic enhancements to improve t-SNE's performance on biological data.

• •Focuses on improving the efficiency of t-SNE, a dimensionality reduction technique.
• •Specifically investigates kernel selection methods.
• •Targets sequencing data analysis, implying applications in bioinformatics.