1 citations · 2 across the 8 of their papers we have counts for
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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…
Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization
Yuta Hozumi, Guo-Wei Wei
Single-cell RNA sequencing (scRNA-seq) is a relatively new technology that has stimulated enormous interest in statistics, data science, and computational biology due to the high d…
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…
Analyzing scRNA-seq data by CCP-assisted UMAP and t-SNE
Yuta Hozumi, Gu-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…