R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
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Updated
Jan 6, 2024 - R
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Community-provided extensions to Seurat
Analysis Pipeline for Single Cell ATAC-seq
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
Haplotype-aware CNV analysis from single-cell RNA-seq
Tutorial for scRNA-seq data analysis beginners using R
scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.
A collection of 50+ trajectory inference methods within a common interface 📥📤
Context specific and dynamic gene regulatory network reconstruction and analysis
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
Cluster single cells and analyze cell clade relationships with colorful visualizations.
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
R package to visualize gene expression data based on weighted kernel density estimation
Spatial-Linked Alignment Tool
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