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

We propose a computational framework for selecting biologically plausible genes identified by clustering of multi-omics data that reveal patients’ similarity, thus giving researchers a more comprehensive view on any given disease. We employ spectral clustering of a similarity network created by fusi...

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Detalles Bibliográficos
Autores principales: Batten, Declan J., Crofts, Jonathan J., Chuzhanova, Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531350/
https://www.ncbi.nlm.nih.gov/pubmed/37761935
http://dx.doi.org/10.3390/genes14091795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531350/
https://www.ncbi.nlm.nih.gov/pubmed/37761935
http://dx.doi.org/10.3390/genes14091795

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