Fig. 1: Overview of CytofIn for mass cytometry data integration.

A The challenge of mass cytometry dataset integration from the public domain is limited by sources of data variability during experimental procedures, sample acquisition, and instrument variations, resulting in datasets with heterogeneous files and batch effects. B CytofIn, a computational pipeline for integrated analysis of mass cytometry data from the public domain. First, CytofIn organizes mass cytometry data by extracting sample information and experimental conditions and summarizes using a metatable for batch processing. Using regular expression matching, CytofIn homogenizes mass cytometry data files by identifying common text patterns found in heterogeneous sets of channel labels. Finally, CytofIn normalizes mass cytometry datasets using generalized anchors, which are non-identical references that exhibit low signal variability across experiments, eliminating the need for beads or identical technical replicates. Figure created with Biorender.