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This upload contains cellranger count outputs and RDS objects of preprocessed scRNAseq data from the publication "H3K36 Methylation Maintains Cell Identity by Regulating Opposing Lineage Programs" for new data published with the paper. These RDS objects are produced by code available here https://github.com/Michorlab/H3K36_methylation_scRNAseq. The same GitHub repo contains plots and tables generated from data in these objects.
H3K36 methylation, stem cells, scRNAseq, H3K36M, reprogramming
H3K36 methylation, stem cells, scRNAseq, H3K36M, reprogramming
| selected citations These citations are derived from selected sources. 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 |
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