A powerful score-based statistical test for group difference in weighted biological networks.

摘要: Background Complex disease is largely determined by a number of biomolecules interwoven into networks, rather than single biomolecule. A key but inadequately addressed issue how to test possible differences the networks between two groups. Group-level comparison network properties may shed light on underlying mechanisms and benefit design drug targets for complex diseases. We therefore proposed powerful score-based statistic detect group difference in weighted which simultaneously capture vertex changes edge changes.