RasmussenLab
The Rasmussen group focuses on proteome and genome variation, coding variation and deep learning for integration of genomics, proteomics and clinical data.
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IntroToML
IntroToML PublicForked from Center-for-Health-Data-Science/IntroToML
Machine Learning course at Copenhagen University, Faculty of Health and Medical Sciences, Center for Health Data Science
Jupyter Notebook 4
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vCentenarian
vCentenarian PublicRepository with supporting code and information for virome analysis of Centenarian metagenomes
Repositories
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- VAEs_for_biomedical_data_integration Public
This is the repository for the paper "On the use of VAEs for biomedical data integration".
RasmussenLab/VAEs_for_biomedical_data_integration’s past year of commit activity - pan_uk_biobank_gwas_snps Public
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