A tool for semi-automatic cell type classification
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Updated
Jun 6, 2024 - Python
A tool for semi-automatic cell type classification
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e 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
CellNet: network biology applied to stem cell engineering
scPretrain: Multi-task self-supervised learning for cell type classification
scoreCT: Automated Cell Type Annotation
singleCellNet in Python
Unbiased single-cell transcriptomic data cell type identification
The source code and results for different methods on annotating external testing datsets of human and mouse.
Supervised cell type identification for scATAC-seq data
The official implementation for "SANGO".
CimpleG, an R package to find (small) CpG signatures.
Pipeline for consensus prediction of cell types in single-cell RNA sequencing data.
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
GUI for semi-automatic single neuron classification by cell type
An R package for cell type nomenclature
A Flask app for the Vickaryous & Hall 2006 cell type classification
Annotation and Analysis of Multiplexed Imaging Data
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