A tool for map** microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes
Environmental cues influence the highly dynamic morphology of microglia. Strategies to
characterize these changes usually involve user-selected morphometric features, which …
characterize these changes usually involve user-selected morphometric features, which …
Geometry based gene expression signatures detect cancer treatment responders in clinical trials
Aim The overall aim of this project is to determine if gene expression signatures of tumors,
constructed from geometrical attributes of data, could be used to predict patient treatment …
constructed from geometrical attributes of data, could be used to predict patient treatment …
Global and relative topological features from homological invariants of subsampled datasets
J Agerberg, W Chacholski… - Topological, Algebraic …, 2023 - proceedings.mlr.press
Homology-based invariants can be used to characterize the geometry of datasets and
thereby gain some understanding of the processes generating those datasets. In this work …
thereby gain some understanding of the processes generating those datasets. In this work …
Algebraic Wasserstein distances and stable homological invariants of data
Distances have a ubiquitous role in persistent homology, from the direct comparison of
homological representations of data to the definition and optimization of invariants. In this …
homological representations of data to the definition and optimization of invariants. In this …
Microglial MorphOMICs unravel region-and sex-dependent morphological phenotypes from postnatal development to degeneration
Microglia contribute to tissue homeostasis in physiological conditions with environmental
cues influencing their ever-changing morphology. Strategies to identify these changes …
cues influencing their ever-changing morphology. Strategies to identify these changes …
Data, geometry and homology
Homology-based invariants can be used to characterize the geometry of datasets and
thereby gain some understanding of the processes generating those datasets. In this work …
thereby gain some understanding of the processes generating those datasets. In this work …
Exploring persistent homology as a method for capturing functional connectivity differences in Parkinson's Disease.
N Hulst - 2022 - diva-portal.org
Parkinson's Disease (PD) is the fastest growing neurodegenerative disease, currently
affecting two to three percent of the population over 65. Studying functional connectivity (FC) …
affecting two to three percent of the population over 65. Studying functional connectivity (FC) …