PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.

Yousef, Malik; Ozdemir, Fatma; Jaber, Amhar; Allmer, Jens; Bakir-Gungor, Burcu

Yousef, Malik; Ozdemir, Fatma; Jaber, Amhar; Allmer, Jens; Bakir-Gungor, Burcu.

Afiliação

Yousef M; Department of Information Systems, Zefat Academic College, 13206, Zefat, Israel. malik.yousef@gmail.com.
Ozdemir F; Galilee Digital Health Research Center (GDH), Zefat Academic College, Zefat, Israel. malik.yousef@gmail.com.
Jaber A; Department of Computer Engineering, Faculty of Engineering, Abdullah Gul University, Kayseri, Turkey.
Allmer J; University Institute of Digital Communication Systems, Ruhr-University, Bochum, Germany.
Bakir-Gungor B; Department of Computer Engineering, Faculty of Engineering, Abdullah Gul University, Kayseri, Turkey.

BMC Bioinformatics ; 24(1): 60, 2023 Feb 23.

Article em En | MEDLINE | ID: mdl-36823571

Assuntos

Biologia Computacional; Neoplasias; Humanos; Biologia Computacional/métodos; Neoplasias/genética; Genoma; Algoritmos; Expressão Gênica; Perfilação da Expressão Gênica

Palavras-chave

Bioinformatics; Biological knowledge integration; Classification; Data mining; Data science; Enrichment analysis; Feature grouping; Feature scoring; Feature selection; Gene expression; Genomics; KEGG pathway; Machine learning

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Biologia Computacional / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Israel

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