Article

flowVI: Flow Cytometry Variational Inference

2023-11-11

Abstract excerpt

Single-cell flow cytometry stands as a pivotal instrument in both biomedical research and clinical practice, not only offering invaluable insights into cellular phenotypes and functions but also significantly advancing our understanding of various patient states. However, its potential is often constrained by factors such as technical limitations, noise interference, and batch effects, which complicate comparison...

Topics

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

Identifiers and source

Literature Corpus work: 800c7737-219c-55a4-9613-2b78e1f9871e
DOI: 10.1101/2023.11.10.566661

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

flowVI: Flow Cytometry Variational InferenceDOI 10.1101/2023.11.10.566661Read

CytoVI: Deep generative modeling of antibody-based single cell technologiesSemantic proximity Read

Generative cell phenotyping with structured latent populationsSemantic proximity Read

Cytometry Masked Autoencoder: An Accurate and Interpretable Automated ImmunophenotyperSemantic proximity Read

Sample-level modeling of single-cell data at scale with <i>tinydenseR</i>Semantic proximity Read

Application and Characterization of the Multiple Instance Learning Framework in Flow CytometrySemantic proximity Read

Population-level integration of single-cell datasets enables multi-scale analysis across samplesSemantic proximity Read

multiHIVE: Hierarchical Multimodal Deep Generative Model for Single-cell Multiomics IntegrationSemantic proximity Read

dioscRi enables transferable prediction of clinical outcomes in multi-parameter cytometry dataSemantic proximity Read

multiHIVE: Hierarchical Multimodal Deep Generative Modeling for Single-cell MultiomicsSemantic proximity Read

Unifying multimodal single-cell data with a mixture-of-experts <i>β</i> -variational autoencoder frameworkSemantic proximity Read

scSemiProfiler: Advancing Large-scale Single-cell Studies through Semi-profiling with Deep Generative Models and Active LearningSemantic proximity Read

Deep-learning-assisted biophysical imaging cytometry at massive throughput delineates cell population heterogeneity.Semantic proximity Read