SCRL

scRNA-seq representation tool

Develops meaningful representations for scRNA-seq data using network integration

GitHub

8 stars
4 watching
4 forks
last commit: almost 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
kirstlab/asc_seurat An R-based web application for scRNA-seq analysis that provides a user-friendly interface for data preprocessing, visualization, and annotation. 23
lingfeiwang/normalisr A software framework for analyzing single-cell RNA sequencing data 18
catavallejos/basics An integrated Bayesian hierarchical model to analyze single-cell sequencing data 84
pachterlab/kallistobustools A workflow for pre-processing single-cell RNA-seq data using Kallisto and Bustools. 115
hemberg-lab/scrna.seq.course An open-source teaching package for the computational analysis of single-cell RNA-seq data using R. 673
cellgeni/scrna.seq.course An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools 125
bioinformatics-core-shared-training/univcambridge_scrnaseq_nov2021 An educational resource providing an introduction to single-cell RNA-seq analysis with interactive tutorials and resources. 3
shr1k4nt/shrikant_zsh_theme A custom theme for the Z shell 0
ssmale/uses A personal tech stack and toolset document 0
litesolutions/sonar-sslr-grappa A SonarQube plugin framework using grappa parsers to tokenize languages and build ASTs. 4
g-solaria/osintforpentests Documentation and resource collection for OSINT and penetration testing activities 61
pstadler/alfred-screensharing Automatically discovers and connects to hosts with Screen Sharing enabled via Apple's Screen Sharing app. 53
zjufanlab/sccatch Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes 219
nbisweden/workshop-scrnaseq An educational resource offering interactive R, Python, and Seurat labs for analyzing single-cell RNA sequencing data. 199
developmentseed/skynet-data Automates data preparation for machine learning with aerial imagery and OpenStreetMap data 170