We propose a feature vector approach to characterize the variation in large data sets of biological sequences. Each candidate sequence produces a single feature vector constructed with the number and
Table 1: the module significance (the overall correlation between the expression of the genes significantly included in each module and IMF content) and the relative P-values. Table 2: the genes membe
Background: Burn injury is a life-threatening disease that does not have ideal biomarkers. Therefore, this study first applied weighted gene co-expression network analysis (WGCNA) and differentially e
