Enhancing the Accuracy of Network Medicine Through Understanding the Impact of Sample Size in Gene Co-Expression Networks
Gene co-expression networks are widely used in Network Medicine, but their accuracy depends strongly on the sample size used to build them. This work characterizes how sample size affects network reliability and downstream disease-module analyses.