RasmussenLab

SLIM is a small bilinear model that uses gene embeddings (e.g. STRING) to predict single-cell genetic perturbation responses.

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

Imputing proteomics data using deep learning models

Workflow for analysing two-dimensional overlapped pooled sequencing data

PlasMAAG is a tool to recover plasmids and organisms from metagenomic samples

Materials for teaching the data medicine course

Modeling nascent RNA transcription from chromatin landscape and structure

Variational autoencoder for metagenomic binning

This is the repository for the paper "On the use of VAEs for biomedical data integration".

Snakemake workflow for evaluating MAG binning tools with CheckM2 and GUNC quality assessment for the TaxVamb paper