Projects
We develop open-source computational tools and resources to advance multi-omics biology and medicine. All of our software is freely available on GitHub.
Featured
A scalable gradient-based feature attribution method that follows the causal structure of the features.
A high-throughput multi-omics perturbation screen to dissect the genetic architecture of lipid metabolism.
FOCUS is an end-to-end Python Framework for preprocessing, alignment, and resolution-matched integration of spatial multi-omics data.
Multiverse is a reproducible benchmarking tool for multimodal single-cell integration, without making bioinformaticians become infrastructure engineers.
Subcellspace integrates subcellular resolution transcriptomics with conventional microscopy to map RNA localisation within individual cells. It leverages deep neural network architectures to fuse morphological and molecular information at unprecedented resolution.
All Projects
A scalable gradient-based feature attribution method that follows the causal structure of the features.
A high-throughput multi-omics perturbation screen to dissect the genetic architecture of lipid metabolism.
FOCUS is an end-to-end Python Framework for preprocessing, alignment, and resolution-matched integration of spatial multi-omics data.
Multiverse is a reproducible benchmarking tool for multimodal single-cell integration, without making bioinformaticians become infrastructure engineers.
MIMA is a Multimodal Variational Autoencoder designed for the integration of heterogeneous molecular layers, enabling a comprehensive multimodal representation of the cellular state.
Subcellspace integrates subcellular resolution transcriptomics with conventional microscopy to map RNA localisation within individual cells. It leverages deep neural network architectures to fuse morphological and molecular information at unprecedented resolution.