A human universal senescence index to evaluate celluar senescence

A tool for semi-automatic cell type harmonization and integration

Independent Component Analysis decipher functional modules for better cell clustering and annotation

Alchemical mutation scoring map

A repository for sharing information on available COVID-19 RNA-Seq datasets

CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.

Some tools for plotting single-cell data

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

A Python implementation of global optimization with gaussian processes.

Single-cell disease relevance score (scDRS)

Spatial analysis of FISH data

The ST viewer is a tool to visualize spatially resolved gene expression data on top of cell tissue figures with the correct location.

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples

Reproducing the experiments of the DestVI paper

Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data

Holds the code and data to reproduce the analyses of Danaher & Kim et a;, "Advances in mixed cell deconvolution enable quantification of cell types in spatially-resolved gene expression data"

K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data

SingleCell: A Python/Cython Package for Processing Single-Cell RNA-Seq Data.

Generate the UMI count matrix from CEL-Seq2 sequencing data

A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)

a fully Bayesian approach to deconvolve tumor microenvironment