sc-SynO: a LoRAS integration to annotate rare-cell populations in scRNAseq data

Application of the LoRAS oversampling approach on single-cell/single-nuclei data to annotate/identify specific cell populations in new data based on previously, manually curated data.

SEEK ID: https://fairdomhub.org/assays/1368

Modelling Analysis

Markus Wolfien

Projects: iRhythmics

Investigation: hidden item

Study: hidden item

Biological problem addressed: Annotation

Organisms: No organisms

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Created: 16th Oct 2020 at 13:12

Last updated: 7th May 2021 at 15:07

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