<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Data from Duò et al (2018): A systematic performance evaluation of clustering methods for single-cell RNA-seq data

Research datakeyboard_double_arrow_right Dataset 01 Jan 2018Publisher:Zenodo

Authors: Duò, Angelo; Robinson, Mark D; Soneson, Charlotte;

doi: 10.5281/zenodo.12772317 , 10.5281/zenodo.12772318

Data from Duò et al (2018): A systematic performance evaluation of clustering methods for single-cell RNA-seq data

- Summary
- Metrics

Abstract

The unfiltered and filtered data sets used for the evaluation in Duo et al 2018 (https://f1000research.com/articles/7-1141/v3), as well as the output from all appplied clustering algorithms.

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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average