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

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Created: 16th Oct 2020 at 11:28

Last updated: 21st Jan 2021 at 19:39

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

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