Annotation and Analysis of Multiplexed Imaging Data
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Updated
Aug 8, 2019 - R
Annotation and Analysis of Multiplexed Imaging Data
A Flask app for the Vickaryous & Hall 2006 cell type classification
An R package for cell type nomenclature
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.
Unbiased single-cell transcriptomic data cell type identification
CimpleG, an R package to find (small) CpG signatures.
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.
Supervised cell type identification for scATAC-seq data
The official implementation for "SANGO".
scPretrain: Multi-task self-supervised learning for cell type classification
scoreCT: Automated Cell Type Annotation
singleCellNet in Python
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
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)).
CellNet: network biology applied to stem cell engineering
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.
A tool for semi-automatic cell type classification
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