Relational persistent homology for multispecies data with application to the tumor microenvironment
Topological data analysis (TDA) is an active field of mathematics for quantifying shape in complex data. Standard methods in TDA such as persistent homology (PH) are typically focused on the analysis of data consisting of a single entity (e.g., cells or molecular species). However, state-of-the-art...
Main Authors: | Stolz, BJ, Dhesi, J, Bull, JA, Harrington, HA, Byrne, HM, Yoon, IHR |
---|---|
פורמט: | Journal article |
שפה: | English |
יצא לאור: |
Springer Nature
2024
|
פריטים דומים
-
Multiparameter persistent homology landscapes identify immune cell spatial patterns in tumors
מאת: Vipond, O, et al.
יצא לאור: (2021) -
Outlier-robust subsampling techniques for persistent homology
מאת: Stolz, BJ
יצא לאור: (2023) -
Indirect effects and spatial scaling affect the persistence of multispecies metapopulations.
מאת: Bonsall, M, et al.
יצא לאור: (2005) -
Persistent homology of time-dependent functional networks constructed from
coupled time series
מאת: Stolz, B, et al.
יצא לאור: (2017) -
Global and local persistent homology for the shape and classification of biological data
מאת: Stolz-Pretzer, B
יצא לאור: (2019)