Here are
58 public repositories
matching this topic...
R toolkit for single cell genomics
Deep probabilistic analysis of single-cell omics data
Updated
Jun 10, 2022
Python
Spatial Single Cell Analysis in Python
Updated
Jun 7, 2022
Python
Reference mapping for single-cell genomics
Updated
May 17, 2022
Jupyter Notebook
CellRank for directed single-cell fate mapping
Updated
Jun 11, 2022
Python
Single cell perturbation prediction
Updated
Apr 25, 2022
Python
Community-provided extensions to Seurat
Single cell trajectory detection
Updated
Jun 2, 2022
Jupyter Notebook
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
Updated
May 23, 2022
Python
Dataset distribution for Seurat
Interfaces for HDF5-based Single Cell File Formats
An R-based interface for loom files
Rails/Docker application for the Broad Institute's single cell RNA-seq data portal
Updated
Jun 10, 2022
Ruby
Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
Updated
May 12, 2022
Python
Tutorials, workflows, and convenience scripts for Single Cell Portal
Updated
Oct 26, 2021
HTML
Cloud-based single-cell copy-number variation analysis tool
A Shiny web app for mapping datasets using Seurat v4
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.
Updated
May 30, 2022
Python
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
A web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat v3
Big data Regression for predicting DNase I hypersensitivity
Updated
Mar 15, 2019
Python
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
Updated
May 2, 2022
Python
🌾 Zhang, et al, Nature Immunology, 2019. Use single-cell transcriptomics and proteomics to study autoimmune diseases.
Updated
Sep 23, 2020
Jupyter Notebook
This is a web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat.
Robust single cell clustering and comparison of population compositions across tissues and experimental models via similarity analysis.
Analysis of Single Cell Expression, Normalization and Differential expression
Visualize cancer genomes with FAIR single-cell RNA-seq data
Updated
Apr 12, 2022
Python
SCGV is an interactive graphical tool for single-cell genomics data, with emphasis on single-cell genomics of cancer
Updated
Mar 23, 2022
Python
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