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Logistic Regression Augmented Community Detection for Network Data with Application in Identifying Autism-Related Gene Pathways
When searching for gene pathways leading to specific disease outcomes, additional information on gene characteristics is often available that may facilitate to differentiate genes related to the disease from irrelevant background when connections involving both types of genes are observed and their relationships to the disease are unknown.
On Consistency of Graph-based Semi-supervised Learning
We prove the consistency of graph-based learning in the case that the estimated scores are enforced to be equal to the observed responses for the labeled data.
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