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q-bio.MN2023
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data
Hongsong Feng, Sean Cottrell, Yuta Hozumi +1
Single-cell RNA sequencing (scRNA-seq) has emerged as a transformative technology, offering unparalleled insights into the intricate landscape of cellular diversity and gene expres…
q-bio.QM2023★ 1 cited
K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis
Sean Cottrell, Yuta Hozumi, Guo-Wei Wei
Single-cell RNA sequencing (scRNA-seq) is widely used to reveal heterogeneity in cells, which has given us insights into cell-cell communication, cell differentiation, and differen…
math.AT2023
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis
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. It primary objective is to ide…