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In this article, we propose a statistical method to evaluate directed interactions of functional magnetic-resonance imaging (fMRI) data.
Therefore, we propose a statistical method to estimate the motion based on modeling image blocks by a mixture of Gaussian distributions.
We propose a statistical method to estimate PU richness that, unlike phenomenological methods like Chao2, can exploit replication in our sampling design to explicitly model PU occupancy and detection probability.
In this study, we propose a statistical method to identify the patterns of NFRs from a genome-wide measurement of nucleosome occupancy.
We propose a statistical method to extract interacting residues, and interacting patches can be clustered as predicted interface residues.
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