shiny app for single cell RNAseq experiments, with plug-in like structure for flexible integration of tools and visualizations.
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Oct 29, 2019 - R
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10x
Here are 4 public repositories matching this topic...
R package: {rfca} Random forest-based cell annotation methods for scRNAseq analysis. {rfca} contains methods which identifies cell types using machine learning trained on a diversity of cell types, without the need for a labelled training dataset. It also allows you to train your own cell prediction models with your own labels (cell type, subtyp…
machine-learning
random-forest
scrna-seq
10x
10x-genomics
seurat
scrna-seq-analysis
scrnaseq-datasets
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Oct 7, 2020 - R
Scripts developed to work with 10x Genomics sequencing results
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Sep 20, 2017 - R
scRNA-seq for COVID-19 samples, with healthy controls.
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Updated
Sep 25, 2024 - R
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