singleCellNet
SingleCell Classifier
A package for classifying single-cell RNA-Seq data across species and platforms
SingleCellNet: classify single cells across species and platforms
131 stars
7 watching
29 forks
Language: R
last commit: over 1 year ago
Linked from 1 awesome list
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 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 |
 teichlab/cellity | A tool for identifying and classifying low-quality cells in single-cell RNA sequencing data using machine learning and statistical methods. | 37 |
 antoniodefalco/scevan | Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. | 94 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 sccaf/sccaf | Automated method for identifying putative cell types from single-cell RNA-seq data using clustering and machine learning | 94 |
 xmc811/scillus | A package for processing and visualizing single-cell RNA-seq data in R, providing an efficient and customizable framework for analyzing complex biological datasets. | 60 |
 single-cell-genetics/cardelino | An R package for identifying clonal structures from single-cell RNA sequencing data using Bayesian methods. | 59 |
 rabadanlab/sctda | An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
 asmagen/robustsinglecell | An R-based software package for analyzing scRNA-seq data to identify robust cell subpopulations and compare population compositions across different tissues and experimental models. | 13 |
 jdekanter/chetah | A method for cell type identification in single-cell RNA sequencing data using hierarchical clustering | 42 |
 sccn/iclabel | A tool that automatically classifies independent components in EEG data using machine learning algorithms | 55 |
 zjufanlab/scdeepsort | A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 100 |
| zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 pachterlab/sircel | A tool for identifying and quantifying cell barcodes from single-cell genomics sequencing data. | 41 |