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

iRhythmics

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.

Submitter: Markus Wolfien

Biological problem addressed: Annotation

Investigation: 1 hidden item

Study: 1 hidden item

Organisms: No organisms

Models: Data and Jupyter notebooks for our analysis on ..., Data and Jupyter notebooks for our analysis on ..., R script for scSynO usage of the Allen Brain At..., R script to generate the preprocessing input fo..., Unix script for the kallisto bustools processin...

SOPs: No SOPs

Data files: Schematic overview of sc-SynO, sc-SynO use case 1: cardiac glial cell identifi..., sc-SynO use case 2: proliferative cardiomyocyte...

Snapshots: No snapshots

Created: 16th Oct 2020 at 11:12, Last updated: 7th May 2021 at 13:07

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