sc-SynO use case 2: proliferative cardiomyocyte identification in the validation datasets
Version 2

Download View content

Validation of the sc-SynO model for the second use case of proliferative cardiomyocytes annotation. a) UMAP representation of the manually clustered single-nuclei dataset of Linscheid et al. (2019) Precicted cells of sc-SynO are highlighted in blue (based on top 20 selected features in the training model), red (based on top 100 selected features in the training model) cells not chosen are grey. b) UMAP representation of the manually clustered dataset of Vidal et al. (2020). PPrecicted cells of sc-SynO are highlighted in blue (based on top 20 selected features in the training model), red (based on top 100 selected features in the training model) cells not chosen are grey. c) Average expression of the respective top five proliferative cardiomyocyte marker genes for both validation sets, including the predicted clusters and those in close proximity.

SEEK ID: https://fairdomhub.org/data_files/3895?version=2

Filename: loras_figures_3.pdf  Download

Format: PDF document

Size: 319 KB

help Creators and Submitter
Activity

Views: 456   Downloads: 36

Created: 16th Oct 2020 at 13:28

Last updated: 21st Jan 2021 at 20:39

Last used: 18th May 2022 at 13:00

help Attributions

None

Version History

Version 2 (latest) Created 20th Jan 2021 at 21:12 by Markus Wolfien

No revision comments

Powered by
(v.1.12.0)
Copyright © 2008 - 2022 The University of Manchester and HITS gGmbH

By continuing to use this site you agree to the use of cookies