System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration.

Abstract excerpt

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, the principal intrinsic problem is how to integrate the data and information from different experiments on genes or...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Biomarkers, Tumor
• Share to Carcinoma, Hepatocellular