Article

Multiple neural network approaches, including use of topological data analysis, enhances classification of human induced pluripotent stem cell colonies by treatment condition

2025-01-20

Abstract excerpt

Understanding how stem cells organize to form early tissue layers remains an important open question in developmental biology. Helpful in understanding this process are biomarkers or features that signal when a significant transition or decision occurs. We show such features from the spatial layout of the cells in a colony are sufficient to train neural networks to classify stem cell colonies according to differen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 12ab6503-20ee-5bba-b71a-94b7b79d04a6
DOI: 10.1101/2025.01.16.633346

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multiple neural network approaches, including use of topological data analysis, enhances classification of human induced pluripotent stem cell colonies by treatment conditionDOI 10.1101/2025.01.16.633346Read

Topological data analysis of pattern formation of human induced pluripotent stem cell coloniesSemantic proximity Read

AN ARTIFICIAL INTELLIGENCE FOR RAPID IN-LINE LABEL-FREE HUMAN PLURIPOTENT STEM CELL COUNTING AND QUALITY ASSESSMENTSemantic proximity Read

Deep neural net tracking of human pluripotent stem cells reveals intrinsic behaviors directing morphogenesisSemantic proximity Read

Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network.Semantic proximity Read

Predicting multipotency of human adult stem cells derived from various donors through deep learningSemantic proximity Read

Computational prediction of neural progenitor cell fates.Semantic proximity Read

Deep Learning for Predicting Stem Cell Efficiency for use in Beta Cell DifferentiationSemantic proximity Read

Gene regulatory network (GRN) embedded agents connect cellular decision making to human pluripotent stem cell derived germ layer-like pattern formationSemantic proximity Read

Graph-based characterization of in vitro neuronal network maturation using machine learning and digital holographic microscopySemantic proximity Read

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitorsSemantic proximity Read

Dynamics of ML-based Morphological Features Indicate a Shear Stress-Dependent Bifurcation of hiPSC-Derived Endothelial Cell StatesSemantic proximity Read

Predictive mesoscale network model of cell fate decisions during C. elegans embryogenesis.Semantic proximity Read