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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...
Sparad:
| I publikationen: | Comput Struct Biotechnol J |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Research Network of Computational and Structural Biotechnology
2021
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| Ämnen: | |
| Länkar: | 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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