Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases

Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases

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Objective It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus (T2DM), dyslipidemia (DLP) and periodontitis (PD), which are chronic inflammatory diseases. More studies able to capture unknown relationships among these diseases will contribute to raise biol...

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Bibliographic Details
Main Authors: Rosana Veroneze, Sâmia Cruz Tfaile Corbi, Bárbara Roque da Silva, Cristiane de S. Rocha, Cláudia V. Maurer-Morelli, Silvana Regina Perez Orrico, Joni A. Cirelli, Fernando J. Von Zuben, Raquel Mantuaneli Scarel-Caminaga, Paolo Magni
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531780/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531780/?tool=EBI

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