Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer
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Apr 20, 2021 - R
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10x-genomics
Here are 8 public repositories matching this topic...
Non-official Git repository for R package cellrangerRkit (currently not available elsewhere; I'm not affiliated with 10x)
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May 6, 2019 - R
Optimized pipelines for Spatial Transcriptomics (ST) data analysis using Seurat & Giotto, designed for reproducible benchmarking and biological insight.
workflow benchmark bioinformatics r pipeline genomics computational-biology data-visualization reproducible-science data-analysis lung-cancer transcriptomics deconvolution 10x-genomics oncology giotto seurat spatial-transcriptomics tumor-microenvironment visium-hd
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Nov 26, 2025 - R
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
R script built on Seurat objects to analyze 10X single-cell expression data
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Dec 14, 2021 - R
Scripts developed to work with 10x Genomics sequencing results
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Sep 20, 2017 - R
🔬 Benchmark Spatial Transcriptomics data analysis with optimized pipelines using Seurat and Giotto for reproducible results and biological insights.
workflow benchmark bioinformatics r pipeline computational-biology data-visualization reproducible-science data-analysis lung-cancer deconvolution 10x-genomics oncology giotto seurat spatial-transcriptomics tumor-microenvironment visium-hd
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Feb 5, 2026 - R
Docker based GUI for in-depth but accessible scRNA annotation and analysis
docker bioinformatics genomics r-shiny 10x-genomics single-cell-rna-seq single-cell-analysis gene-expression-analysis cell-clustering
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Jun 3, 2025 - R
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