Characterizing cell subsets using marker enrichment modeling

Marker enrichment modeling (MEM) provides an objective metric for characterizing cell populations from high-content single-cell analysis. The MEM score outperforms standard metrics and provides a machine-readeable label for cell subsets. Learning cell identity from high-content single-cell data pres...

Full description

Saved in:
Bibliographic Details
Published in:Nature methods Vol. 14; no. 3; pp. 275 - 278
Main Authors: Diggins, Kirsten E, Greenplate, Allison R, Leelatian, Nalin, Wogsland, Cara E, Irish, Jonathan M
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01.03.2017
Nature Publishing Group
Subjects:
13/1
631/114
631/250
Algorithms
Bioinformatics
Biological Microscopy
Biological Techniques
Biomarkers
Biomarkers - analysis
Biomedical Engineering/Biotechnology
Brain Neoplasms - immunology
Brain Neoplasms - pathology
brief-communication
Cellular biology
Computational biology
Computational Biology - methods
Cytology
Flow Cytometry - methods
Glioblastoma - immunology
Glioblastoma - pathology
Humans
Innovations
Life Sciences
Proteomics
Single-Cell Analysis - methods
T-Lymphocytes - cytology
Technology application
ISSN:1548-7091, 1548-7105, 1548-7105
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Marker enrichment modeling (MEM) provides an objective metric for characterizing cell populations from high-content single-cell analysis. The MEM score outperforms standard metrics and provides a machine-readeable label for cell subsets. Learning cell identity from high-content single-cell data presently relies on human experts. We present marker enrichment modeling (MEM), an algorithm that objectively describes cells by quantifying contextual feature enrichment and reporting a human- and machine-readable text label. MEM outperforms traditional metrics in describing immune and cancer cell subsets from fluorescence and mass cytometry. MEM provides a quantitative language to communicate characteristics of new and established cytotypes observed in complex tissues.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/nmeth.4149