Ontology highlight
ABSTRACT:
SUBMITTER: Papili Gao N
PROVIDER: S-EPMC7010602 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Papili Gao Nan N Hartmann Thomas T Fang Tao T Gunawan Rudiyanto R
Frontiers in bioengineering and biotechnology 20200204
We present Clustering and Lineage Inference in Single-Cell Transcriptional Analysis (CALISTA), 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 single-cell clustering, reconstruction of cell lineage specification, transition gene identification, and cell pseudotime ordering, which can be applied individually or in a pipeline. In th ...[more]