CALISTA is a numerically efficient and highly scalable toolbox for an end-to-end analysis of single-cell transcriptomic profiles.
CALISTA includes four essential single-cell analyses for cell differentiation studies, including:
1- single-cell clustering;
2- reconstruction of cell lineage specification;
3- transition gene identification;
4- cell pseudotime ordering.
In the following tutorials, we describe the main steps of CALISTA (MATLAB VERSION) applied to in silico and publicly available single-cell gene expression data. For each dataset, ONLY the most important results are reported. Please refer to the file MAIN.m for an example MATLAB script of CALISTA implementation.