A network approach for low dimensional signatures from high throughput data

One of the main objectives of high-throughput genomics studies is to obtain a low-dimensional set of observables—a signature—for sample classification purposes (diagnosis, prognosis, stratification). Biological data, such as gene or protein expression, are commonly characterized by an up/down regula...

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Detalles Bibliográficos
Autores principales: Curti, Nico, Levi, Giuseppe, Giampieri, Enrico, Castellani, Gastone, Remondini, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789141/
https://www.ncbi.nlm.nih.gov/pubmed/36564421
http://dx.doi.org/10.1038/s41598-022-25549-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789141/
https://www.ncbi.nlm.nih.gov/pubmed/36564421
http://dx.doi.org/10.1038/s41598-022-25549-9

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