MOESM5 of An unsupervised learning approach to identify novel signatures of health and disease from multimodal data
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https://springernature.figshare.com/articles/dataset/MOESM5_of_An_unsupervised_learning_approach_to_identify_novel_signatures_of_health_and_disease_from_multimodal_data/11574348/1
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Additional file 5. Median value of key biomarkers, sample subset membership and sample similarity score for the cardiometabolic module and the microbiome richness module.
提供机构:
figshare
创建时间:
2020-01-11



