RasmussenLab's Projects
Variational autoencoder for metagenomic binning
Variational autoencoder for metagenomic binning
Predict who dies from newly diagnosed cirrhosis
Send cr2 usage on computerome to a Slack channel.
Decision based on models using the latent encoding (approx. posterior)
A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.
VS Code on Binder
Script to run HAPI (Haplotype-Aware Probabilistic model for Indels) to identify the CCR5delta32 deletion in ancient low coverage dna samples
Functionality for processing and analysing HeLa data quality control (QC) and maintenance (MNT) samples processed by MaxQuant
Machine Learning course at Copenhagen University, Faculty of Health and Medical Sciences, Center for Health Data Science
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
A collection of docker jupyterlab/notebook images used at the University of Copenhagen/NBI
Not just another biomarkers: Functionality for biomarker discovery
An Overleaf template for an initial journal submission and a preprint
Downstream processing of VAMB binning for Viral Elucidation
Imputing proteomics data using deep learning models
The Proteomics Experimental Design file format: Standard for experimental design annotation
In house python script used for Højholt et al. 2019
Unifies the presentation of taxonomic classifiers output
Template of thesis for overleaf at Copenhagen University
PhD thesis template using styling from the faculty of health and medical sciences (short SUND in Danish)
Variational autoencoder for metagenomic binning
Variational and Adversarial autoencoders for metagenomic binning
Pipeline for running VAMB on CAMI2 datasets
Repository with supporting code and information for virome analysis of Centenarian metagenomes