Diary to a single cell RNA sequencing analysis using publicly available data
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Updated
May 9, 2024 - HTML
Diary to a single cell RNA sequencing analysis using publicly available data
Expectation-Maximization-based clustering algorithm to identify groups defined by biological variates as clusters in single-cell transcriptomic data.
ClusterMap for multi-scale clustering analysis of spatial gene expression
TRIAGE is provided here as an R package comprised of three tools: 1) TRIAGEgene, 2) TRIAGEcluster, and 3) TRIAGEparser, along with a set of functions that streamlines creation of publication-ready figures and facilitates smoother data analysis.
Haplotype-aware CNV analysis from single-cell RNA-seq
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
Spatial profiling toolbox for spatial characterization of tumor immune microenvironment in multiplex images
Community-provided extensions to Seurat
Transform CellProfiler and DeepProfiler data for processing image-based profiling readouts with Pycytominer and other Cytomining tools.
Spatial Single-Cell Analysis Toolkit
SIMBA: SIngle-cell eMBedding Along with features
Context specific and dynamic gene regulatory network reconstruction and analysis
Tutorial of single-cell RNA-ATAC multiomic sequencing data analysis
Scanning sample-specific miRNA regulation from bulk and single-cell RNA-sequencing data
Swift Phenotypic Analysis of Cells
Tutorial for scRNA-seq data analysis beginners using R
Single cell ATAC and RNA seq data analysis
Analysing single-cell and DSP data to test the effect of copper chelation with TEPA in Neuroblastoma mice
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
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