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.

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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.

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Please click here to see examples of CALISTA (R VERSION).