Explore projects
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Benchmarking marker gene selection methods for scRNA-seq data
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The analysis scripts for downloading and preprocessing for reproducible analysis
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BioCellGen-public / BAUH_2020_MND-single-cell
Creative Commons Attribution Share Alike 4.0 InternationalUpdated -
BioCellGen-public / NAWP_2021_PI3K-Analysis
Creative Commons Attribution Share Alike 4.0 InternationalUpdated -
A one-day hands-on workshop covering highlights of scRNA-seq data analysis. Organised and hosted by Jimmy Breen at the South Australian Health and Medical Research Institute, presented by Davis McCarthy from St Vincent's Institute of Medical Research
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Single-cell RNA-sequencing data analysis course run by RMIT and SVI.
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An R package implementing extensions to the Susceptible-Infectious-Recovered (SIR) model for epidemics.
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BioCellGen-public / MIG_2019_scRNAseq-workshop
GNU General Public License v3.0 onlyUpdated