CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data.

ABSTRACT:

Background

The rapidly increasing dimensionality and throughput of flow and mass cytometry data necessitate new bioinformatics tools for analysis and interpretation, and the recently emerging single-cell-based algorithms provide a powerful strategy to meet this challenge.

Results

Here, we present CytoTree, an R/Bioconductor package designed to analyze and interpret multidimensional flow and mass cytometry data. CytoTree provides multiple computational functionalities that integrate most of the commonly used techniques in unsupervised clustering and dimensionality reduction and, more importantly, support the construction of a tree-shaped trajectory based on the minimum spanning tree algorithm. A graph-based algorithm is also implemented to estimate the pseudotime and infer in

SUBMITTER: Dai Y 

PROVIDER: S-EPMC7983272 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature