Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data

1 code implementation • 15 Dec 2023 • Hongsong Feng, Sean Cottrell, Yuta Hozumi, Guo-Wei Wei

Single-cell RNA sequencing (scRNA-seq) has emerged as a transformative technology, offering unparalleled insights into the intricate landscape of cellular diversity and gene expression dynamics.

K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis

no code implementations • 23 Oct 2023 • Sean Cottrell, Yuta Hozumi, Guo-Wei Wei

We further introduce a k-Nearest-Neighbor (kNN) persistent Laplacian technique to improve the robustness of our persistent Laplacian method.

Dimensionality Reduction feature selection

PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis

1 code implementation • 9 Jun 2023 • Sean Cottrell, Rui Wang, GuoWei Wei

Over the years, Principal Component Analysis (PCA) has served as the baseline approach for dimensionality reduction in gene expression data analysis.

Dimensionality Reduction