Article

cellPLATO: an unsupervised method for identifying cell behaviour in heterogeneous cell trajectory data

2023-10-29

Abstract excerpt

Advances in imaging, cell segmentation, and cell tracking now routinely produce microscopy datasets of a size and complexity comparable to transcriptomics or proteomics. New tools are required to process this ‘phenomics’ type data. Cell PLasticity Analysis TOol (cellPLATO) is a Python-based analysis software designed for measurement and classification of diverse cell behaviours based on clustering of parameters of...

Topics

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

Identifiers and source

Literature Corpus work: 2cc01ac6-a444-55e5-8a28-623bb1f2f93d
DOI: 10.1101/2023.10.28.564355

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

cellPLATO: an unsupervised method for identifying cell behaviour in heterogeneous cell trajectory dataDOI 10.1101/2023.10.28.564355Read

CellPhe: a toolkit for cell phenotyping using time-lapse imaging and pattern recognitionSemantic proximity Read

Cell Simulation as Cell SegmentationSemantic proximity Read

Feature selection for preserving biological trajectories in single-cell dataSemantic proximity Read

Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.Semantic proximity Read

Cell-TIMP: Cellular Trajectory Inference based on Morphological ParameterSemantic proximity Read

Mining of Single-Cell Signaling Time-Series for Dynamic Phenotypes with Clustering.Semantic proximity Read

Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.Semantic proximity Read

Fast and Accurate Cell Tracking: a real-time cell segmentation and tracking algorithm to instantly export quantifiable cellular characteristics from large scale image dataSemantic proximity Read

Altered physical phenotypes of leukemia cells that survive chemotherapy treatment.Semantic proximity Read

OPTIMAL: An OPTimised Imaging Mass cytometry AnaLysis framework for benchmarking segmentation and data explorationSemantic proximity Read

Image-Based Tracking of Heterogeneous Single-Cell Phenotypes.Semantic proximity Read

Detection of continuous hierarchical heterogeneity by single-cell surface antigen analysis in the prognosis evaluation of acute myeloid leukaemia.Semantic proximity Read