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We propose the use of graph Laplacian regularized logistic regression to integrate biological networks into disease classification and pathway association problems.

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Logit-Lapnet

We propose the use of graph Laplacian regularized logistic regression to integrate biological networks into disease classification and pathway association problems.

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We propose the use of graph Laplacian regularized logistic regression to integrate biological networks into disease classification and pathway association problems.

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