Single-cell disease relevance score (scDRS)

Deep-learning based pipeline for analysis of whole-brain light sheet microscopy images

Obtain trait-relevant cell subpopulations by incorporating pathway activity transformed scRNA-seq data with GWAS data

Python tools for analysing body movements across space and time

End-to-end light-sheet image analysis for mouse brains, with DL training data generated in VR

A tool for semi-automatic cell type classification

Java tools for analyzing Drop-seq data

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Unsupervised cell functional annotation for single-cell RNA-Seq

Deep-learning based pipeline for analysis of whole-brain light sheet microscopy images

NMA deep learning course

NMA Computational Neuroscience course

Simple Mouse Tracker

Individual level Differential Expression Analysis for Single cells

A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

A Bayesian model for compositional single-cell data analysis

Affine and Regularized DEformative Numeric Transform (ardent) is a Python package for performing image registration using LDDMM.

The gastrin-releasing peptide receptor interneurons in the mouse dorsal horn are controlled by local phasic and tonic inhibition. Here is the code used for analysis in the paper.

Detect doublets in single-cell RNA-seq data

Streamlines scSeq data alignment with kallisto

A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing

Single-cell analysis in Python. Scales to >1M cells.

R toolkit for single cell genomics

Single-cell exploratory data analysis for RNA-Seq

Closed-loop behavioral experiment toolkit using pose estimation of body parts.