Deep probabilistic analysis of single-cell and spatial omics data
-
Updated
Nov 4, 2024 - Python
Deep probabilistic analysis of single-cell and spatial omics data
muon is a multimodal omics Python framework
Single cell analysis in the browser
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
scPerturb: A resource and a python/R tool for single-cell perturbation data
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
ADTnorm normalizes the cell surface protein measurement of CITE-seq data, facilitating across batches and across studies data integration.
scpca-nf is the Nextflow workflow for processing Single-cell Pediatric Cancer Atlas Portal data
A Snakemake workflow for processing and visualizing (multimodal) sc/snRNA-seq data generated with 10X Genomics Kits or in the MTX matrix file format powered by the R package Seurat.
Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments
MultiModal Classifier Hierarchy (MMoCHi)
Novel joint clustering method with scRNA-seq and CITE-seq data
experimental interface between R and scvi-tools
CITE-seq profiling of human PBMCs at baseline and activation conditions
Scripts related to bulkRNA-seq as well as single-cell CITE-seq and VDJ-seq data of Gearty et al. (2021)
Tools for single-cell feature barcoding analysis
Project analyzing multi-omics genomics data from a COVID-19 study.
Add a description, image, and links to the cite-seq topic page so that developers can more easily learn about it.
To associate your repository with the cite-seq topic, visit your repo's landing page and select "manage topics."