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!

Be the first to leave a comment!