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ConclusionThis approach overcomes the limitations associated with the impact of subjective factors and dependence on prior knowledge while adaptively achieving more robust and effective candidate biomarkers in a data-driven way.SignificanceThe approach is promising to facilitate discovering effective candidate genetic biomarkers for brain disorders, as well as to help improve the effectiveness of identified candidate neuroimaging biomarkers for brain diseases.
Source: Interdisciplinary Sciences, Computational Life Sciences - Category: Bioinformatics Source Type: research