Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.
-
Updated
Mar 3, 2024 - Python
Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.
Material for Bioconductor 2023 workshop on interoperation with python
Maintained elsewhere. See README.
adtseq provides simple Rcpp methods to identify Antibody-Derived-Tags in single cell CITE/REAP-seq data
A ShinyApp for visualization and explorering Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data
Awesome single-cell CITE-sequencing Pipeline
A framework for simulation of spatially-resolved omics data using python
A single-cell demultiplexing pipeline, the sharp (♯)
Project analyzing multi-omics genomics data from a COVID-19 study.
Tools for single-cell feature barcoding analysis
Scripts related to bulkRNA-seq as well as single-cell CITE-seq and VDJ-seq data of Gearty et al. (2021)
CITE-seq profiling of human PBMCs at baseline and activation conditions
MultiModal Classifier Hierarchy (MMoCHi)
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.
Novel joint clustering method with scRNA-seq and CITE-seq data
experimental interface between R and scvi-tools
Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments
scpca-nf is the Nextflow workflow for processing Single-cell Pediatric Cancer Atlas Portal data
ADTnorm normalizes the cell surface protein measurement of CITE-seq data, facilitating across batches and across studies data integration.
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."