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Harnessing the biological complexity of Big Data from LINCS gene expression signatures
Gene expression profiling using transcriptional drug perturbations are useful for many biomedical discovery studies including drug repurposing and elucidation of drug mechanisms (MoA) and many other pharmacogenomic applications. However, limited data availability across cell types has severely hinde...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6114505/ https://ncbi.nlm.nih.gov/pubmed/30157183 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0201937 |
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