Comparison of Principal Component Analysis and t-Stochastic Neighbor Embedding with Distance Metric Modifications for Single-cell RNA-sequencing Data Analysis
Haejoon Kwon, Jean Fan, Peter V. Kharchenko
This study compares PCA and t-SNE with distance metric modifications for visualizing and classifying single-cell RNA-seq data, finding that variable gene selection is critical for reliable classification.
bioRxiv · Jan 29, 2017 · PreprintBioinformatics