Results 111 to 120 of about 1,143,028 (268)
Computing Persistent Homology by Spanning Trees and Critical Simplices
Research, 2023 Topological data analysis can extract effective information from higher-dimensional data. Its mathematical basis is persistent homology. The persistent homology can calculate topological features at different spatiotemporal scales of the dataset, that is,
Dinghua Shi +3 more
doaj +1 more source
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology
, 2017 Topological data analysis is an emerging area in exploratory data analysis and data mining. Its main tool, persistent homology, has become a popular technique to study the structure of complex, high-dimensional data.
Hajij, Mustafa +3 more
core +1 more source
Persistent homology and non-Gaussianity [PDF]
Journal of Cosmology and Astroparticle Physics, 2018 21 pages, 11 ...
Cole, Alex, Shiu, Gary
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Compression for 2-parameter persistent homology
Computational Geometry, 2023 Compression aims to reduce the size of an input, while maintaining its relevant properties. For multi-parameter persistent homology, compression is a necessary step in any computational pipeline, since standard constructions lead to large inputs, and computational tasks in this area tend to be expensive.
Fugacci Ulderico +2 more
openaire +3 more sources
Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control
FEBS Open Bio, EarlyView.Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada +5 more
wiley +1 more source
Analysis of Kolmogorov Flow and Rayleigh-B\'enard Convection using Persistent Homology
, 2015 We use persistent homology to build a quantitative understanding of large complex systems that are driven far-from-equilibrium; in particular, we analyze image time series of flow field patterns from numerical simulations of two important problems in ...
Kramar, Miroslav +7 more
core +1 more source
Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
PLoS ONEThe complexity of branching and curvilinear morphology of a complete mitochondrial network within each cell is challenging to analyze and quantify. To address this challenge, we developed an image analysis technique using persistent homology with a ...
Yu-Min Chung +3 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Persistent Homology of Collaboration Networks [PDF]
Mathematical Problems in Engineering, 2013 Over the past few decades, network science has introduced several statistical measures to determine the topological structure of large networks. Initially, the focus was on binary networks, where edges are either present or not. Thus, many of the earlier measures can only be applied to binary networks and not to weighted networks. More recently, it has
Carstens, C. J., Horadam, K. J.
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FEBS Open Bio, EarlyView.This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source