CyTOFmerge: integrating mass cytometry data across multiple panels.

ABSTRACT:

Motivation

High-dimensional mass cytometry (CyTOF) allows the simultaneous measurement of multiple cellular markers at single-cell level, providing a comprehensive view of cell compositions. However, the power of CyTOF to explore the full heterogeneity of a biological sample at the single-cell level is currently limited by the number of markers measured simultaneously on a single panel.

Results

To extend the number of markers per cell, we propose an in silico method to integrate CyTOF datasets measured using multiple panels that share a set of markers. Additionally, we present an approach to select the most informative markers from an existing CyTOF dataset to be used as a shared marker set between panels. We demonstrate the feasibility of our methods by evaluating the quali

SUBMITTER: Abdelaal T 

PROVIDER: S-EPMC6792069 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature