Projection Pursuit with Applications to scRNA Sequencing Data
Methodology
2022-10-17 v2 Machine Learning
Abstract
In this paper, we explore the limitations of PCA as a dimension reduction technique and study its extension, projection pursuit (PP), which is a broad class of linear dimension reduction methods. We first discuss the relevant concepts and theorems and then apply PCA and PP (with negative standardized Shannon's entropy as the projection index) on single cell RNA sequencing data.
Cite
@article{arxiv.1912.07602,
title = {Projection Pursuit with Applications to scRNA Sequencing Data},
author = {Elvis Han Cui and Heather Zhou},
journal= {arXiv preprint arXiv:1912.07602},
year = {2022}
}
Comments
10 figures