Identifying Common Features Among Disease-Related Gene Groups
A recent study from the University of California San Diego has identified similar features in disease-related gene groups. The study, published in the journal Nature Communications, used machine learning techniques to examine the gene expression in 5,721 different disease-related gene groups. The researchers found that the gene expression of these gene groups can be clustered into groups with similar features, providing insights into the underlying causes of diseases. The findings could lead to new treatments for diseases and provide a better understanding of the genetic basis of diseases.
source: Phys.org