The Wayback Machine - https://web.archive.org/web/20210901204250/https://github.com/topics/single-cell-analysis
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84 public repositories
matching this topic...
Analysis Pipeline for Single Cell ATAC-seq
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Community-provided extensions to Seurat
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
A collection of 50+ trajectory inference methods within a common interface 📥📤
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
Cluster single cells and analyze cell clade relationships with colorful visualizations.
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Aug 27, 2021
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Haskell
An implementation of MNN (Mutual Nearest Neighbors) correct in python.
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Jul 19, 2021
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Python
Simulating single-cell data using gene regulatory networks 📠
Dynamic models for single-cell RNA-seq time series.
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Sep 24, 2018
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Jupyter Notebook
A web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat v3
Comparison of dimensionality reduction methods
A Library for Denoising Single-Cell Data with Random Matrix Theory
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Nov 5, 2018
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Jupyter Notebook
R package to visualize gene expression data based on weighted kernel density estimation
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Mar 15, 2019
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Python
Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", bioRxiv
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Jul 31, 2021
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Jupyter Notebook
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
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Jul 30, 2021
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Python
BEER: Batch EffEct Remover for single-cell data
Bi-order integration (in silico multi-omics data) of single cell RNA sequencing, single cell ATAC sequencing, spacial transcriptomics and CyTOF data
An analytics package for single cell data
Reliable, scalable and demultiplexing for single-cell RNA sequencing. Improves genotypes with Expectation-Maximization
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Jul 26, 2021
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Python
SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection
This is a web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat.
An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization
Marker Selection by matching manifolds and elastic net
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May 21, 2021
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Python
scPretrain: Multi-task self-supervised learning for cell type classification
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Nov 13, 2020
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Python
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
represent each cell in UMAP plots as a pie chart
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Jun 21, 2021
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Python
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