MuSA: a graphical user interface for multi-OMICs data integration in radiogenomic studies
Abstract Analysis of large-scale omics data along with biomedical images has gaining a huge interest in predicting phenotypic conditions towards personalized medicine. Multiple layers of investigations such as genomics, transcriptomics and proteomics, have led to high dimensionality and heterogeneit...
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Auteurs principaux: | Mario Zanfardino, Rossana Castaldo, Katia Pane, Ornella Affinito, Marco Aiello, Marco Salvatore, Monica Franzese |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/d32c69fb74104e7a9b69643e62d5c3f7 |
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