MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
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Updated
Jan 14, 2025 - HTML
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
A Shiny web app for mapping datasets using Seurat v4
Various utility functions for Seurat single-cell analysis
An R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database into a Seurat object.
Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study
Marker gene selection from scRNA-seq data
Module 4 for HKU Single-cell Workshop
Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data
Infer and visualize cell-cell communication for single-cell RNA-seq data
A bare bones tutorial on how to analyse spatial transcriptomics data from raw sequencing reads to visualising spatially distinct features
Scanning sample-specific miRNA regulation from bulk and single-cell RNA-sequencing data
Practical and home works in the discipline Bioinformatics.
Shiny app for visualizing, analysing and extracting informations from single-cell datasets
Creation of a reference matrix from Tabula Sapiens Single cell dataset
A summer workshop on single-cell (gen)omics and data analysis
Single-cell RNA-sequencing data analysis
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