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

Autor: Veroneze R; Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil., Cruz Tfaile Corbi S; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry at Araraquara, São Paulo State University (UNESP), Araraquara, SP, Brazil., Roque da Silva B; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry at Araraquara, São Paulo State University (UNESP), Araraquara, SP, Brazil., de S Rocha C; Department of Medical Genetics and Genomic Medicine, University of Campinas (UNICAMP), Campinas, SP, Brazil., V Maurer-Morelli C; Department of Medical Genetics and Genomic Medicine, University of Campinas (UNICAMP), Campinas, SP, Brazil., Perez Orrico SR; Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University (UNESP), Araraquara, SP, Brazil.; Advanced Research Center in Medicine, Union of the Colleges of the Great Lakes (UNILAGO), São José do Rio Preto, SP, Brazil., Cirelli JA; Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University (UNESP), Araraquara, SP, Brazil., Von Zuben FJ; Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil., Mantuaneli Scarel-Caminaga R; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry at Araraquara, São Paulo State University (UNESP), Araraquara, SP, Brazil.

Publikováno v: PloS one [PLoS One] 2020 Oct 02; Vol. 15 (10), pp. e0240269. Date of Electronic Publication: 2020 Oct 02 (Print Publication: 2020).