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Computational Prediction of the Global Functional Genomic Landscape: Applications, Methods and Challenges
Technological advances have led to an explosive growth of high-throughput functional genomic data. Exploiting the correlation among different data types, it is possible to predict one functional genomic data type from other data types. Prediction tools are valuable in understanding the relationship...
Tallennettuna:
| Julkaisussa: | Hum Hered |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5599299/ https://ncbi.nlm.nih.gov/pubmed/28076869 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1159/000450827 |
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