cellity
Cell classifier
A tool for identifying and classifying low-quality cells in single-cell RNA sequencing data using machine learning and statistical methods.
37 stars
9 watching
6 forks
Language: R
last commit: over 8 years ago
Linked from 1 awesome list
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 cahanlab/singlecellnet | A package for classifying single-cell RNA-Seq data across species and platforms | 131 |
 mathewchamberlain/signacx | Classifies cellular phenotype in single-cell RNA sequencing data using neural networks | 24 |
 tanaylab/metacell | An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells. | 110 |
 bayraktarlab/cell2location | An algorithmic framework for resolving cell types in spatial transcriptomics data | 327 |
 jdekanter/chetah | A method for cell type identification in single-cell RNA sequencing data using hierarchical clustering | 42 |
 antoniodefalco/scevan | Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. | 94 |
 swainasish/spatialprompt | A software tool for analyzing spatial transcriptomics data by separating cell types from location information | 12 |
 kenlaulab/dropkick | Automated cell filtering tool for single-cell RNA sequencing data analysis | 24 |
 eiriniar/cellcnn | A Python-based software framework for analyzing mass/flow cytometry data to identify phenotype-associated cell subsets. | 65 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 mwydmuch/napkinxc | A fast and simple library for multi-class and multi-label classification | 65 |
 sccaf/sccaf | Automated method for identifying putative cell types from single-cell RNA-seq data using clustering and machine learning | 94 |
 cytomining/cytominer | Software for preprocessing and analyzing large cell profiling datasets | 49 |
| zjufanlab/scdeepsort | A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 100 |
 batzogloulabsu/simlr | An implementation of a machine learning method for analyzing single-cell RNA-seq data, providing tools for dimension reduction, clustering, and visualization. | 110 |