Article

Prediction of standard cell types and functional markers from flow cytometry gating definitions using machine learning

2021-08-25

Abstract excerpt

<h4>Background</h4> A key step in clinical flow cytometry data analysis is gating, which involves the identification of cell populations. The process of gating produces a set of reportable results, which are typically described by gating definitions. The non-standardized, non-interpreted nature of gating definitions represents a hurdle for data interpretation and data sharing across and within organizations. Inte...

Topics

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

Identifiers and source

Literature Corpus work: 5a6d84f2-fffe-57ce-85c4-006262133230
DOI: 10.1101/2021.08.25.457664

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of standard cell types and functional markers from flow cytometry gating definitions using machine learningDOI 10.1101/2021.08.25.457664Read

Accurate, fast and memory efficient quantification of immune cell phenotypes in cytometry using machine learningSemantic proximity Read

Reverse-engineering flow-cytometry gating strategies for phenotypic labelling and high-performance cell sortingSemantic proximity Read

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

Effective tree-based classification for automated flow cytometry data analysis on samples with suspected haematological malignancySemantic proximity Read

Cyto-Feature Engineering: A Pipeline for Flow Cytometry Analysis to Uncover Immune Populations and Associations with Disease.Semantic proximity Read

Mechanistic Deep Learning Framework on Cell Traits Derived from Single-Cell Mass Cytometry DataSemantic proximity Read

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

Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry dataSemantic proximity Read

A simple strategy for sample annotation error detection in cytometry datasetsSemantic proximity Read

Deep profiling of multitube flow cytometry data.Semantic proximity Read

Citizen science gamers enable automated flow cytometry gating through machine learningSemantic proximity Read

RchyOptimyx: cellular hierarchy optimization for flow cytometry.Semantic proximity Read