Binary Factor Analysis: a dimensionality reduction tool for noisy, high throughput single cell genomic data
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Updated
Mar 17, 2020 - R
Binary Factor Analysis: a dimensionality reduction tool for noisy, high throughput single cell genomic data
scripts for scRNA-Seq/scATAC-Seq
Scripts for sincle cell multiome analysis
Workflow for analysis of healthy human kidney by snRNAseq and snATACseq
Analysis Pipeline for Single Cell ATAC-seq
Containerized workflow for analysis of human diabetic kidney disease by snRNA-seq and snATAC-seq
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
A R Shiny App for single-cell analysis
Single cell ANANSE Gene-regulatory-network analysis from Seurat objects
Containerized workflow for single cell detection of loss of Y chromosome and other mosaic chromosomal alterations in chronic kidney disease
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
scRNA-seq and scATAC-seq utilities
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