Single-Cell Trajectory Inference using Ensemble Pseudotimes

A single-cell trajectory inference method using 'Autoencoder' and Minimum Spanning Tree (MST) from high dimensional 'scRNA-Seq' data. The software run clustering methods six times using 'scDHA' with the number of clusters set from 6 to 10. Then, the 'scTEP' calculates pseudotime based on multiple clustering results. Lastly, the 'scTEP' generates trajectory using MST algorithm and fine-tunes it according to the pseudotime of clusters.


Reference manual

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install.packages("scTEP")

0.1.0 by Yifan Zhang, 4 years ago


Browse source code at https://github.com/cran/scTEP


Authors: Yifan Zhang [aut, cre] , Duc Tran [aut] , Tin Nguyen [fnd] , Sergiu M. Dascalu [fnd] , Frederick C. Harris , Jr. [fnd]


Documentation:   PDF Manual  


LGPL license


Imports stats, dplyr, igraph, scDHA, foreach, BiocGenerics, Matrix, SummarizedExperiment, doParallel, ggsci, psych, tibble, rlang, SingleCellExperiment

Suggests knitr, rmarkdown


See at CRAN