Finding Correlated Patterns via High-Order Matching for Multiple Sourced Biological Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2018.2866266
Abstract: Objective: The emergence of multidimensional genomic data poses new challenges in data analysis. Finding correlated patterns within multiple-sourced biological data is useful in understanding potential interactions between the multimodal genomic data. Methods: Multidimensional genomic data… read more here.
Keywords: genomic data; model; finding correlated; correlated patterns ... See more keywords
Life on the Edge: Latching Dynamics in a Potts Neural Network
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DOI: 10.3390/e19090468
Abstract: We study latching dynamics in the adaptive Potts model network, through numerical simulations with randomly and also weakly correlated patterns, and we focus on comparing its slowly and fast adapting regimes. A measure, Q, is… read more here.
Keywords: latching dynamics; network; adapting regime; correlated patterns ... See more keywords