There are 0 repository under cell-type-classification topic.
A tool for semi-automatic cell type classification
iCellR is an interactive R package designed to facilitate the analysis and visualization of high-throughput single-cell sequencing data. It supports a variety of single-cell technologies, including scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq, and Spatial Transcriptomics (ST).
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
AltAnalyze is a multi-functional and easy-to-use software package for automated single-cell and bulk gene and splicing analyses. Easy-to-use precompiled graphical user-interface versions available from our website.
CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
scPretrain: Multi-task self-supervised learning for cell type classification
singleCellNet in Python
Unbiased single-cell transcriptomic data cell type identification
Supervised cell type identification for scATAC-seq data
The source code and results for different methods on annotating external testing datsets of human and mouse.
Python package for single-cell analysis with multiple kernel learning.
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
Pipeline for consensus prediction of cell types in single-cell RNA sequencing data.
GUI for semi-automatic single neuron classification by cell type
An R package for cell type nomenclature
Single-cell RNA-seq analysis project for learning purposes.
Annotation and Analysis of Multiplexed Imaging Data
Code for the Systems Biology: Computational Analysis and Interpretation of High-throughput Data course at HU Berlin.
R pipeline for reliably and reproducably analyzing scRNAseq experiments using Seurat and associated tools.
Small repo for running Allen Institute's Cell_Type_Mapper (MapMyCells) on Seurat scRNAseq objects.
A Flask app for the Vickaryous & Hall 2006 cell type classification