GitHub topics: singlecellexperiment
BiocPy/SingleCellExperiment
Container class for single-cell experiments
Language: Python - Size: 4.38 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 8 - Forks: 2
tidyomics/tidySingleCellExperiment
Brings SingleCellExperiment objects to the tidyverse
Language: R - Size: 41.9 MB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 36 - Forks: 10
stemangiola/CuratedAtlasQueryR
Tidy R query API for the harmonised and curated CELLxGENE single-cell atlas.
Language: R - Size: 13 MB - Last synced at: 9 days ago - Pushed at: 9 months ago - Stars: 92 - Forks: 8
milescsmith/ReductionWrappers 📦
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
Language: R - Size: 5.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 37 - Forks: 4
sablokgaurav/plant_single_cell_RNA_analysis
single_cell_RNA_analysis
Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
CompBioLevings/snATAC-and-scRNA-seq-plots
This repository consists of two **Jupyter Notebooks** created to document a comparison of a mouse brain snATAC-seq (single nuclei assay for transposase accessible chromatin with sequencing) data set from http://catlas.org/mousebrain/ with a scRNA-seq (single cell RNA sequencing) data set from the Linnarsson lab's http://mousebrain.org/. Specifically, in this code, I identify differences in neuronal vs other cell types in the mouse brain based on chromatin accessibility (snATAC-seq signal of a specific region aggregated by cell type/cluster) and gene expression (scRNA-seq signal aggregated by cell type/cluster).
Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
