Single-Cell Data Science
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Updated
Nov 30, 2020 - Python
Single-Cell Data Science
Single-Cell Data Analysis Tools
Let's try to replicate bioinformatics performed in a scRNA-seq related paper!
Marlene, a method to recover temporal gene regulatory networks.
Graph Auto-Encoders (GAE) for Gene Regulatory Network (GRN) completion using scRNA-Seq datasets
Grab barcodes and UMIs for a collection of scRNAseq fasta files
scPoli legacy code for reproducibility
Python implementation of scppin for module detection
🔬 Explore and analyze multimodal omics data with the muon framework, designed for efficient handling of diverse biological datasets in Python.
PicturedRocks Single Cell Analysis Tool
Detect single-cell technology that was used to generate a set of FASTQ files or a single BAM file.
Graphical User Interface for python package Deconomix
GARAGE: A python framework for synthetic single cell (scRNA-seq) data generation using graph attention-based GAN approach.
🧬 Analyze spatial gene expression in cancer tissues with this automated Python pipeline, uncovering insights into tumor microenvironments and biological regions.
Convenient and user-friendly package to streamline common workflows in single-cell RNA sequencing data analysis
Web application for exploration of scRNA-seq datasets
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