Towards <i>In Silico</i> Identification of Genes Contributing to Similarity of Patients' Multi-Omics Profiles: A Case Study of Acute Myeloid Leukemia.

Batten, Declan J; Crofts, Jonathan J; Chuzhanova, Nadia

Towards In Silico Identification of Genes Contributing to Similarity of Patients' Multi-Omics Profiles: A Case Study of Acute Myeloid Leukemia.

Batten, Declan J; Crofts, Jonathan J; Chuzhanova, Nadia.

Afiliação

Batten DJ; School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK.
Crofts JJ; School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK.
Chuzhanova N; School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK.

Genes (Basel) ; 14(9)2023 09 13.

Article em En | MEDLINE | ID: mdl-37761935

Assuntos

Leucemia Mieloide Aguda; MicroRNAs; Humanos; Multiômica; Biologia Computacional/métodos; Leucemia Mieloide Aguda/genética; MicroRNAs/genética; MicroRNAs/metabolismo; Software

Palavras-chave

acute myeloid leukemia (AML); chromosome conformation (Hi-C) data; multi-omics data; mutations; proteinprotein interactions (PPI); similarity network fusion (SNF); spectral clustering

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / MicroRNAs Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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