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
Unbiased single-cell transcriptomic data cell type identification
singleCellNet in Python
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)).
The official implementation for "SANGO".
An R package for cell type nomenclature
CimpleG, an R package to find (small) CpG signatures.
Pipeline for consensus prediction of cell types in single-cell RNA sequencing data.
Supervised cell type identification for scATAC-seq data
CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
CellNet: network biology applied to stem cell engineering
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
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.
scoreCT: Automated Cell Type Annotation
scPretrain: Multi-task self-supervised learning for cell type classification
GUI for semi-automatic single neuron classification by cell type
The source code and results for different methods on annotating external testing datsets of human and mouse.
Annotation and Analysis of Multiplexed Imaging Data
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