Contains datasets to compare trajectory inference methods. See https://benchmark.dynverse.org These files can be opened in R using `readRDS` . Each file is a list containing at least: expression and counts: filtered log2 normalised expression files and raw counts milestone_network, milestone_percentages and divergence_regions: the trajectory model

Related Organizations

Ghent University
Belgium

Keywords

pseudotemporal ordering, trajectory inference, single-cell omics

2 Research products, page 1 of 1

Gold Standard Single-Cell -Omics Datasets For Comparing Trajectory Inference Methods
2018HasVersion
A comparison of single-cell trajectory inference methods
2019IsPartOf

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	6
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%