Persistent homology classification algorithm [PDF]
Data classification is an important aspect of machine learning, as it is utilized to solve issues in a wide variety of contexts. There are numerous classifiers, but there is no single best-performing classifier for all types of data, as the no free lunch
Mark Lexter D. De Lara
doaj +6 more sources
Probing omics data via harmonic persistent homology [PDF]
Identifying molecular signatures from complex disease patients with underlying symptomatic similarities is a significant challenge in the analysis of high-dimensional multi-omics data.
Davide Gurnari +5 more
doaj +3 more sources
Automatic epileptic seizure detection based on persistent homology [PDF]
Epilepsy is a prevalent brain disease, which is quite difficult-to-treat or cure. This study developed a novel automatic seizure detection method based on the persistent homology method.
Ziyu Wang +7 more
doaj +3 more sources
Relational Persistent Homology for Multispecies Data with Application to the Tumor Microenvironment. [PDF]
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 ...
Stolz BJ +5 more
europepmc +3 more sources
The persistent homology of genealogical networks [PDF]
Genealogical networks (i.e. family trees) are of growing interest, with the largest known data sets now including well over one billion individuals. Interest in family history also supports an 8.5 billion dollar industry whose size is projected to double
Zachary M. Boyd +6 more
doaj +2 more sources
The fiber of persistent homology for trees. [PDF]
Consider the space of continuous functions on a geometric tree X whose persistent homology gives rise to a finite generic barcode D. We show that there are exactly as many path connected components in this space as there are merge trees whose barcode is ...
Beers D, Leygonie J.
europepmc +2 more sources
Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks. [PDF]
In machine-learning-assisted high-throughput defect studies, a defect-aware latent representation of the supercell structure is crucial for the accurate prediction of defect properties.
Fang Z, Yan Q.
europepmc +3 more sources
The persistent homology of mitochondrial ATP synthases [PDF]
Summary: Relatively little is known about ATP synthase structure in protists, and the investigated ones exhibit divergent structures distinct from yeast or animals.
Savar D. Sinha, Jeremy G. Wideman
doaj +2 more sources
Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations. [PDF]
Introduction Mild cognitive impairment (MCI), often linked to early neurodegeneration, is associated with subtle disruptions in brain connectivity.
Bhattacharya D +4 more
europepmc +3 more sources
Persistent homology analysis distinguishes pathological bone microstructure in non-linear microscopy images. [PDF]
We present a topological method for the detection and quantification of bone microstructure from non-linear microscopy images. Specifically, we analyse second harmonic generation (SHG) and two photon excited autofluorescence (TPaF) images of bone tissue ...
Pritchard Y +5 more
europepmc +2 more sources

