A self-organizing deep neuro-fuzzy system approach for classification of kidney cancer subtypes using miRNA genomics data.

Pirmoradi, Saeed; Teshnehlab, Mohammad; Zarghami, Nosratollah; Sharifi, Arash

Pirmoradi, Saeed; Teshnehlab, Mohammad; Zarghami, Nosratollah; Sharifi, Arash.

Afiliação

Pirmoradi S; Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. Electronic address: said.pirmoradi@gmail.com.
Teshnehlab M; Department of Systems and Control Engineering, K.N. Toosi University of Technology, Tehran, Iran. Electronic address: teshnehlab@eetd.kntu.ac.ir.
Zarghami N; Department of Biotechnology, Tabriz University of Medical Sciences, Tabriz, Iran.
Sharifi A; Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Comput Methods Programs Biomed ; 206: 106132, 2021 Jul.

Article em En | MEDLINE | ID: mdl-34010800

Assuntos

Neoplasias Renais; MicroRNAs; Algoritmos; Lógica Fuzzy; Genômica; Humanos; Neoplasias Renais/genética; MicroRNAs/genética; Redes Neurais de Computação

Palavras-chave

Deep learning; Kidney cancer; Neuro-fuzzy system; Self-organizing auto-encoder; The Cancer Genome Atlas (TCGA); miRNA

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Neoplasias Renais Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article

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