Topic: "scrna-seq"
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
Language: Python - Size: 148 MB - Last synced at: about 2 hours ago - Pushed at: 1 day ago - Stars: 1,368 - Forks: 387
COMBINE-lab/salmon
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Language: C++ - Size: 209 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 725 - Forks: 156
mdozmorov/scRNA-seq_notes
A list of scRNA-seq analysis tools
Language: R - Size: 1.9 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 691 - Forks: 154
hemberg-lab/scRNA.seq.course Fork of rstudio/bookdown-demo
Analysis of single cell RNA-seq data course
Language: TeX - Size: 365 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 672 - Forks: 360
chanzuckerberg/cellxgene
An interactive explorer for single-cell transcriptomics data
Language: JavaScript - Size: 239 MB - Last synced at: 14 days ago - Pushed at: 18 days ago - Stars: 667 - Forks: 132
immunogenomics/harmony
Fast, sensitive and accurate integration of single-cell data with Harmony
Language: R - Size: 51.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 475 - Forks: 127
aristoteleo/dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
Language: Python - Size: 25.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 430 - Forks: 59
Teichlab/celltypist
A tool for semi-automatic cell type classification
Language: Python - Size: 22 MB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 357 - Forks: 46
theislab/scarches
Reference mapping for single-cell genomics
Language: Jupyter Notebook - Size: 825 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 347 - Forks: 52
scRNA-tools/scRNA-tools
Table of software for the analysis of single-cell RNA-seq data.
Language: R - Size: 128 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 319 - Forks: 77
zhanghao-njmu/SCP
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Language: R - Size: 788 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 315 - Forks: 66
junjunlab/scRNAtoolVis
Useful functions to make your scRNA-seq plot more cool!
Language: R - Size: 22.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 304 - Forks: 30
broadinstitute/Tangram
Spatial alignment of single cell transcriptomic data.
Language: Jupyter Notebook - Size: 141 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 288 - Forks: 55
theislab/scgen
Single cell perturbation prediction
Language: Python - Size: 69.3 MB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 286 - Forks: 58
liulab-dfci/MAESTRO
Single-cell Transcriptome and Regulome Analysis Pipeline
Language: C - Size: 203 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 279 - Forks: 78
samuel-marsh/scCustomize
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
Language: R - Size: 305 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 249 - Forks: 24
dpeerlab/Palantir
Single cell trajectory detection
Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: about 19 hours ago - Pushed at: 11 days ago - Stars: 244 - Forks: 52
scverse/muon
muon is a multimodal omics Python framework
Language: Python - Size: 5.05 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 231 - Forks: 31
kharchenkolab/pagoda2
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
Language: JavaScript - Size: 78.4 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 228 - Forks: 47
Oshlack/splatter
Simple simulation of single-cell RNA sequencing data
Language: R - Size: 57.2 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 226 - Forks: 57
genecell/single-cell-papers-with-code
Papers with code for single cell related papers
Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 225 - Forks: 47
kharchenkolab/conos
R package for the joint analysis of multiple single-cell RNA-seq datasets
Language: R - Size: 269 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 188 - Forks: 38
theislab/zellkonverter
Conversion between scRNA-seq objects
Language: R - Size: 2.02 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 171 - Forks: 29
pinellolab/STREAM
STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data
Language: Jupyter Notebook - Size: 249 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 170 - Forks: 47
wheaton5/souporcell
Clustering scRNAseq by genotypes
Language: Python - Size: 1.66 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 168 - Forks: 46
pachterlab/kb_python
A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing
Language: Python - Size: 226 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 160 - Forks: 24
interactivereport/cellxgene_VIP
Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
Language: Jupyter Notebook - Size: 162 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 146 - Forks: 49
saeyslab/multinichenetr
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Language: HTML - Size: 686 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 131 - Forks: 14
sanderlab/scPerturb
scPerturb: A resource and a python/R tool for single-cell perturbation data
Language: Jupyter Notebook - Size: 209 MB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 118 - Forks: 7
rezakj/iCellR
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)).
Language: R - Size: 68.2 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 117 - Forks: 19
ZJUFanLab/bulk2space
a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 115 - Forks: 23
ZJUFanLab/scDeepSort
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
Language: Python - Size: 19.4 MB - Last synced at: about 2 hours ago - Pushed at: almost 2 years ago - Stars: 103 - Forks: 19
immunogenomics/symphony
Efficient and precise single-cell reference atlas mapping with Symphony
Language: Jupyter Notebook - Size: 124 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 103 - Forks: 22
Teichlab/cellhint
A tool for semi-automatic cell type harmonization and integration
Language: Python - Size: 6.78 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 102 - Forks: 14
parashardhapola/scarf
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.
Language: Python - Size: 32.8 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 100 - Forks: 12
AntonioDeFalco/SCEVAN
R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
Language: HTML - Size: 63 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 100 - Forks: 25
theislab/cpa
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Language: Python - Size: 54.1 MB - Last synced at: 24 days ago - Pushed at: 8 months ago - Stars: 97 - Forks: 16
JonathanShor/DoubletDetection
Doublet detection in single-cell RNA-seq data.
Language: Python - Size: 8.05 MB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 91 - Forks: 23
eleozzr/desc
Deep Embedding for Single-cell Clustering
Language: Jupyter Notebook - Size: 168 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 84 - Forks: 25
kharchenkolab/dropEst
Pipeline for initial analysis of droplet-based single-cell RNA-seq data
Language: C++ - Size: 47.1 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 84 - Forks: 43
catavallejos/BASiCS
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
Language: R - Size: 90.4 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 83 - Forks: 17
single-cell-genetics/vireo
Demultiplexing pooled scRNA-seq data with or without genotype reference
Language: Python - Size: 4.39 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 83 - Forks: 28
vandijklab/cell2sentence-ft
Cell2Sentence turns scRNA-seq data into text for LLM training.
Language: Python - Size: 229 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 81 - Forks: 13
jfnavarro/st_pipeline
ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.
Language: Python - Size: 155 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 79 - Forks: 50
lilab-bcb/cirrocumulus
Bring your single-cell data to life
Language: JavaScript - Size: 223 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 79 - Forks: 16
dynverse/dynverse
A set of tools supporting the development, execution, and benchmarking of trajectory inference methods. 🌍
Language: R - Size: 566 KB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 71 - Forks: 17
changwn/scFEA
single cell Flux Estimation Analysis (scFEA) Try the below web server!
Language: Jupyter Notebook - Size: 51.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 66 - Forks: 27
Teichlab/Genes2Genes
Aligning gene expression trajectories of single-cell reference and query systems
Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 63 - Forks: 8
KlugerLab/ALRA
Imputation method for scRNA-seq based on low-rank approximation
Language: R - Size: 7.72 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 63 - Forks: 18
Novartis/cellxgene-gateway
Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.
Language: Python - Size: 203 KB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 61 - Forks: 34
single-cell-genetics/cardelino
Clone identification from single-cell data
Language: R - Size: 9.8 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 61 - Forks: 13
Danko-Lab/TED
a fully Bayesian approach to deconvolve tumor microenvironment
Language: R - Size: 142 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 61 - Forks: 13
PaulingLiu/ROGUE
Assessing the purity of single cell population
Language: R - Size: 9.77 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 61 - Forks: 11
czbiohub-sf/cerebra 📦
A tool for fast and accurate summarizing of variant calling format (VCF) files
Language: Python - Size: 164 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 60 - Forks: 9
simslab/scHPF
Single-cell Hierarchical Poisson Factorization
Language: Python - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 60 - Forks: 10
theislab/scib-reproducibility
Additional code and analysis from the single-cell integration benchmarking project
Language: Jupyter Notebook - Size: 1.48 GB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 56 - Forks: 13
PaulingLiu/scibet
A portable and fast single cell type identifier
Language: R - Size: 80.4 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 54 - Forks: 12
BaderLab/scClustViz
Explore and share your scRNAseq clustering results
Language: R - Size: 696 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 9
VCCRI/Sierra
Discover differential transcript usage from polyA-captured single cell RNA-seq data
Language: R - Size: 19.9 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 50 - Forks: 17
WXlab-NJMU/scrna-recom
collected resource for scRNA-seq analysis
Language: R - Size: 88.5 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 49 - Forks: 14
dpeerlab/Harmony
Harmony framework for connecting scRNA-seq data from discrete time points
Language: Jupyter Notebook - Size: 5.34 MB - Last synced at: 11 days ago - Pushed at: 10 months ago - Stars: 47 - Forks: 12
Zilong-Li/PCAone
Fast, Accurate and Memory-Efficient Principal Component Analysis All in One
Language: C++ - Size: 6.42 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 45 - Forks: 3
edroaldo/cellrouter
Reconstruction of complex single-cell trajectories using CellRouter
Language: R - Size: 56.6 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 44 - Forks: 21
wukevin/babel
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Language: Jupyter Notebook - Size: 316 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 41 - Forks: 16
ismms-himc/clustergrammer2-notebooks
Examples using Clustergrammer2 to explore high-dimensional datasets.
Language: Jupyter Notebook - Size: 463 MB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 11
shiquan/PISA
A collection of tools to process single-cell omics datasets.
Language: C - Size: 6.33 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 39 - Forks: 8
HaojiaWu/CellScopes.jl
A Julia package for single cell and spatial data analysis
Language: Julia - Size: 126 MB - Last synced at: about 9 hours ago - Pushed at: about 9 hours ago - Stars: 36 - Forks: 3
OceanGenomics/mudskipper
A tool for projecting genomic alignments to transcriptomic coordinates
Language: Rust - Size: 18.3 MB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 35 - Forks: 8
nf-core/scnanoseq
Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
Language: Nextflow - Size: 40.5 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 34 - Forks: 10
nunofonseca/fastq_utils
Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
Language: C - Size: 82 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 34 - Forks: 15
genecell/COSGR
Accurate and fast cell marker gene identification with COSG
Language: R - Size: 18.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 6
quon-titative-biology/scAlign
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Language: R - Size: 5.18 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 32 - Forks: 12
jaleesr/BITFAM
BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.
Language: R - Size: 61.6 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 17
PMBio/MuDataSeurat
.h5mu files interface for Seurat
Language: R - Size: 3.98 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 13
potulabe/symphonypy
Port of symphony algorithm of single-cell reference atlas mapping to Python
Language: Jupyter Notebook - Size: 83.3 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 28 - Forks: 1
slowkow/cellguide
🧭 Navigate single-cell RNA-seq datasets in your web browser.
Language: JavaScript - Size: 4.01 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 28 - Forks: 4
ismms-himc/visium-clustergrammer2
Spatial Transcriptomics Dashboard
Language: Jupyter Notebook - Size: 29 MB - Last synced at: 20 days ago - Pushed at: almost 2 years ago - Stars: 28 - Forks: 5
oscar-franzen/PanglaoDB
metadata and data from the database
Size: 50.6 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 28 - Forks: 8
bioFAM/mofax
Work with trained factor models in Python
Language: Jupyter Notebook - Size: 48.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 27 - Forks: 12
Bayer-Group/cellenium
Cellenium is a FAIR and scalable interactive visual analytics app for scRNA-Seq data (single-cell RNA sequencing).
Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 5
ncrna/PathogenTrack
A pipeline to identify pathogenic microorganisms from scRNA-seq raw data.
Language: Python - Size: 59.5 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 8
jamesjcai/scGEAToolbox
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
Language: HTML - Size: 918 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 26 - Forks: 10
epigen/dea_limma
A Snakemake workflow and MrBiomics module for performing and visualizing differential (expression) analyses (DEA) on NGS data powered by the R package limma.
Language: R - Size: 147 KB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 26 - Forks: 2
jiang-junyao/IReNA
R package IReNA
Language: R - Size: 150 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 26 - Forks: 12
powellgenomicslab/DropletQC
Nuclear fraction QC metric to detect empty droplets and damaged cells in scRNA-seq data
Language: R - Size: 16.7 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 3
devCellPy-Team/devCellPy
devCellPy is a Python package designed for hierarchical multilayered classification of cells based on single-cell RNA-sequencing.
Language: Jupyter Notebook - Size: 88.7 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 25 - Forks: 3
paulranum11/SPLiT-Seq_demultiplexing
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
Language: Python - Size: 6.83 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 9
fabilab/northstar
Single cell type annotation guided by cell atlases, with freedom to be queer
Language: Python - Size: 304 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 6
jumphone/BEER
BEER: Batch EffEct Remover for single-cell data
Language: R - Size: 60.1 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 24 - Forks: 9
epigen/genome_tracks
A Snakemake workflow and MrBiomics module for easy visualization of genome browser tracks of aligned BAM files (e.g., RNA-seq, ATAC-seq, scRNA-seq, ...) powered by the wrapper gtracks for the package pyGenomeTracks, and IGV-reports.
Language: Python - Size: 118 KB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 23 - Forks: 1
zhouzilu/cTPnet
cTPnet Package
Language: Python - Size: 145 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 4
klarman-cell-observatory/scPlot
Single cell interactive plotting tools
Language: Jupyter Notebook - Size: 37.9 MB - Last synced at: 19 days ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 8
epigen/scrnaseq_processing_seurat
A Snakemake workflow and MrBiomics module 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.
Language: R - Size: 1.27 MB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 22 - Forks: 0
epigen/dea_seurat
A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.
Language: R - Size: 358 KB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 21 - Forks: 11
cbg-ethz/scDEF
Deep exponential families for single-cell data.
Language: Python - Size: 35 MB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 21 - Forks: 1
limix/CellRegMap
CellRegMap: A statistical framework for mapping context-specific regulatory variants using scRNA-seq
Language: Python - Size: 11.2 MB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 21 - Forks: 3
phipsonlab/speckle
R package for analysing single cell data
Language: R - Size: 178 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 6
chengfgao/TopicVelo
TopicVelo: Dissection and Integration of Bursty Transcriptional Dynamics for Complex Systems
Language: Jupyter Notebook - Size: 9.09 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 20 - Forks: 2
stefanpeidli/mousipy
Translates an AnnData object with mouse gene symbols into one with human gene symbols by mapping orthologs from biomart.
Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 20 - Forks: 5
single-cell-genetics/singlecell_neuroseq_paper
Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation
Language: Jupyter Notebook - Size: 39.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 20 - Forks: 6