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Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing number of omics data that seek to portray many different but complementary biological layers including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. New insight from these data have been obta...
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| Publicado no: | Comput Struct Biotechnol J |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Research Network of Computational and Structural Biotechnology
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8258788/ https://ncbi.nlm.nih.gov/pubmed/34285775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2021.06.030 |
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