8 citations · 10 across the 7 of their papers we have counts for
7 papers
Computational Drug Repurposing for Alzheimer's Disease via Sheaf Theoretic Population-Scale Analysis of snRNA-seq Data
Sean Cottrell, Seungmin Yoon, Xiaoqi Wei +2
Single-cell and single-nucleus RNA sequencing (scRNA-seq /snRNA-seq) are widely used to reveal heterogeneity in cells, showing a growing potential for precision and personalized me…
Persistent Sheaf Laplacian Analysis of Protein Flexibility
Nicole Hayes, Xiaoqi Wei, Hongsong Feng +2
Protein flexibility, measured by the B-factor or Debye-Waller factor, is essential for protein functions such as structural support, enzyme activity, cellular communication, and mo…
Persistent Topological Laplacians -- a Survey
Xiaoqi Wei, Guo-Wei Wei
Persistent topological Laplacians constitute a new class of tools in topological data analysis (TDA). They are motivated by the necessity to address challenges encountered in persi…
Persistent topological Laplacian analysis of SARS-CoV-2 variants
Xiaoqi Wei, Jiahui Chen, Guo-Wei Wei
Topological data analysis (TDA) is an emerging field in mathematics and data science. Its central technique, persistent homology, has had tremendous success in many science and eng…
Emerging dominant SARS-CoV-2 variants
Jiahui Chen, Rui Wang, Yuta Hozumi +4
Accurate and reliable forecasting of emerging dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants enables policymakers and vaccine makers to get prepared…
The edge ideals of the join of some vertex weighted oriented graphs
Yijun Cui, Guangjun Zhu, Xiaoqi Wei
In this paper, we describe primary decomposition of the edge ideal of the join of some graphs in terms of that information of the edge ideal of every weighted oriented graph. Meanw…
Persistent sheaf Laplacians
Xiaoqi Wei, Guo-Wei Wei
Recently various types of topological Laplacians have been studied from the perspective of data analysis. The spectral theory of these Laplacians has significantly extended the sco…