GiniClust
Cell type detector
A tool for detecting rare cell types in single-cell gene expression data using the Gini index
GiniClust: Detecting Rare Cell Types from Single-Cell Gene Expression Data with Gini Index
36 stars
7 watching
17 forks
Language: R
last commit: over 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
zjufanlab/scdeepsort | A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 99 |
brainglobe/cellfinder | Automated 3D cell detection tool for large images in microscopy and neuroscience research | 181 |
robertaboukhalil/ginkgo | An analysis tool for single-cell copy-number variation data from sequencing experiments. | 47 |
cortes-ciriano-lab/scomatic | A tool for detecting somatic variants in single-cell data | 170 |
genlouvain/genlouvain | An implementation of community detection using the Louvain method in MATLAB | 99 |
mathewchamberlain/signacx | Classifies cellular phenotype from single-cell RNA sequencing data using neural networks trained on bulk gene expression data. | 23 |
hyphenliu/cnminlangwebcollect | Detects languages of Chinese minority websites and collects them into a dataset. | 1 |
ataudt/aneufinder | Detects and characterizes copy-number variations in single-cell whole genome sequencing data using computational models | 17 |
weigertlab/spotiflow | An accurate and efficient spot detection method for fluorescence microscopy images and volumes using deep learning techniques | 61 |
rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
jhsmit/colicoords | An open-source Python project for analyzing fluorescence microscopy data from rodlike cells. | 26 |
euxhenh/cellar | An interactive software tool for analyzing single-cell omics data | 31 |
jefworks-lab/honeybadger | An R package that uses Bayesian inference and hidden Markov models to detect genetic variations in single-cell RNA-seq data | 96 |
chris-mcginnis-ucsf/doubletfinder | Detects doublets in single-cell RNA sequencing data by analyzing cell distances and proportions of artificial neighbors | 415 |
pachterlab/cwgflhgcchap_2021 | Analyzing multiplexed single-cell RNA-seq data from a marine organism, providing tools for preprocessing, clustering, and analysis of gene expression across different cell types. | 2 |