https://github.com/core-bioinformatics/morell-et-al-2022-scrnaseq
https://github.com/core-bioinformatics/morell-et-al-2022-scrnaseq
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓Academic publication links
Links to: ncbi.nlm.nih.gov -
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.0%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: Core-Bioinformatics
- License: apache-2.0
- Language: R
- Default Branch: main
- Size: 5.86 KB
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- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 4 years ago
· Last pushed over 4 years ago
https://github.com/Core-Bioinformatics/Morell-et-al-2022-scRNAseq/blob/main/
# single-cell RNA-seq analysis code for Morell et al. 2022 This repo contains code relevant for the analysis (processing, cell filtering, normalization, dim reduction, clustering, marker gene identification) of single-cell RNA-seq data (available via [GEO accession GSM4824487](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM4824487)) for the manuscript Novel 3D Approach to Model Non-Alcoholic Fatty Liver Disease using human Pluripotent Stem Cells by Carola M Morell, Samantha G Tilson, Rute A Tomaz, Arash Shahsavari, Giovanni Canu, Brandon T Wesley, Marion Perrin, Imbisaat Geti, Subhankar Mukhopadhyay, Francesca Mazzacuva, Paul Gissen, Jose Garcia-Bernardo, Martin Bachman, Casey A Rimland, Fotios Sampaziotis, Irina Mohorianu, and Ludovic Vallier.
Owner
- Name: Cambridge Stem Cell Institute Core Bioinformatics group
- Login: Core-Bioinformatics
- Kind: organization
- Website: https://www.corebioinf.stemcells.cam.ac.uk/
- Repositories: 4
- Profile: https://github.com/Core-Bioinformatics