Integrating Heterogeneous High-Throughput Data for Meta-Dimensional Pharmacogenomics and Disease-Related Studies
The current paradigm of human genetics research is to analyze variation of a single data type (i.e., DNA sequence or RNA levels) to detect genes and pathways that underlie complex traits such as disease state or drug response. While these studies have detected thousands of variations that associate...
Uloženo v:
| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | angličtina |
| Vydáno: |
2012
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| On-line přístup: | https://doi.org/10.2217/pgs.11.145 |
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