R toolkit for single cell genomics

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics

Multiome GRN inference.

Easily install and load packages from the tidyomics ecosystem

tests for statistical significance of clustering

Human cortical cell types

Supplementary material for the paper "Detecting pairwise correlations in spike trains: an objective comparison of methods and application to the study of retinal waves"

Granular Functional Filtering (Gruffi) to isolate stressed cells

Quality control for patch-seq data using marker genes

Source code for RNAseq analysis on iPSC-derived neurons from Parkinson Disease patients.