Unlocking biological complexity: the role of machine learning in integrative multi-omics
The increasing complexity of biological systems demands advanced analytical approaches to decode the underlying mechanisms of health and disease. Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand bi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academia.edu Journals
2024-11-01
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| Series: | Academia Biology |
| Online Access: | https://www.academia.edu/125890571/Unlocking_biological_complexity_the_role_of_machine_learning_in_integrative_multi_omics |
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