scrublet
Doublet detector
A tool to identify technical doublets in single-cell RNA-seq data by removing co-encapsulated cells from the analysis
Detect doublets in single-cell RNA-seq data
138 stars
5 watching
73 forks
Language: Jupyter Notebook
last commit: about 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for detecting technical errors in single-cell RNA-seq data | 87 |
| An algorithm to identify and separate doublet cells from single cell RNA-seq data in a machine learning framework. | 86 |
| Detects doublets in single-cell RNA sequencing data by analyzing cell distances and proportions of artificial neighbors | 424 |
| A method for detecting doublets in single-cell ATAC-seq data | 30 |
| An algorithm for detecting alternative splicing in single cells from RNA sequencing data. | 21 |
| A software tool that identifies sample identity and detects multiplets in pooled single cell RNA-seq samples. | 122 |
| A suite of functions for analyzing and visualizing RNA sequencing data | 191 |
| Deconvolutes single-cell RNA-seq data from potential doublets to remove contamination | 69 |
| A software tool for analyzing spatial transcriptomics data by separating cell types from location information | 12 |
| Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
| Analyzes single-cell RNA-seq data using statistical models and machine learning algorithms | 15 |
| Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
| A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 100 |
| Analyzes single cell RNA sequence data with quantitative phenotypes | 13 |
| An interactive R application to detect and annotate hidden sources of variation in single cell RNA-seq data | 7 |