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Dissection of gene expression datasets into clinically relevant interaction signatures via high-dimensional correlation maximization
Gene expression is controlled by many simultaneous interactions, frequently measured collectively in biology and medicine by high-throughput technologies. It is a highly challenging task to infer from these data the generating effects and cooperating genes. Here, we present an unsupervised hypothesi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883077/ https://www.ncbi.nlm.nih.gov/pubmed/31780653 http://dx.doi.org/10.1038/s41467-019-12713-5 |