| Abstrakt: |
Researchers from the Federal University Bahia in Salvador, Brazil, have developed a new approach to analyzing gene association networks using a generalized correlation coefficient (GCC) that can adapt to varying levels of symmetry and asymmetry in data distribution. This method shows advantages over traditional measures like Kendall, Pearson, and Spearman coefficients, offering novel adaptations that enhance precision and applicability in complex gene interactions. The study suggests that the GCC could be a valuable tool for constructing and interpreting relevance networks in biomedicine, potentially advancing the understanding of biological interactions and healthcare research. [Extracted from the article] |
