Published September 21, 2021
| Version 1.1
Dataset
Open
Data for Universal prediction of cell cycle position using transfer learning
Description
The repo contains the data for Universal prediction of cell cycle position using transfer learning (https://www.biorxiv.org/content/10.1101/2021.04.06.438463v2).
The scripts to analyze and generate all figures could be found at https://github.com/hansenlab/tricycle_paper_figs
v1.1 update: add neurosphere_scvelo.qs - an R SingleCellExperiment object saved as qs file that has spliced counts, unspliced counts, and all outputs from scvelo.
Notes
Uncompress plotdata.tar.gz to a folder named plotdata and feta.tar.gz(xx) to a folder named fetal.
Files
cell_annotate.csv
Files
(28.1 GB)
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