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System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration
Biomedical institutions rely on data evaluation and are turning into data factories. Big-data storage centers, supercomputing systems, and increased algorithmic efficiency allow us to analyze the ever-increasing amount of data generated every day in biomedical research centers. In network science, t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847983/ https://www.ncbi.nlm.nih.gov/pubmed/33475988 http://dx.doi.org/10.1007/s40291-020-00505-3 |