scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics
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Updated
May 13, 2024 - Python
scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Access and Format Single-cell RNA-seq Datasets from Public Resources
DANCE: a deep learning library and benchmark platform for single-cell analysis
Guide and links related to bulk and single-cell RNA-Seq experiments.
R toolkit for single cell genomics
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
Deep probabilistic analysis of single-cell and spatial omics data
A collection of Rmarkdowns and scripts implementing a pipeline for scRNA-Seq analysis.
Brings SingleCellExperiment objects to the tidyverse
R package for pathway analysis in scRNA-seq data
Expectation-Maximization-based clustering algorithm to identify groups defined by biological variates as clusters in single-cell transcriptomic data.
A Package for Cas9-Enabled Single Cell Lineage Tracing Tree Reconstruction
Bayesian MCMC matrix factorization algorithm
This GitHub repository contains all the analysis code used in, "Single cell transcriptomic analysis of the canine duodenum in chronic inflammatory enteropathy and health."
Various utility functions for Seurat single-cell analysis
Table of software for the analysis of single-cell RNA-seq data.
This repository contains the source code of the python shiny app which is recommended to be used for the downstream analysis of the output of the SIMBA🦁 pipeline.
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
Spatial Single Cell Analysis in Python
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