Balanced Functional Module Detection in genomic data

MOTIVATION: High-dimensional genomic data can be analyzed to understand the effects of variables on a target variable such as a clinical outcome. For understanding the underlying biological mechanism affecting the target, it is important to discover the complete set of relevant variables. Thus varia...

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Detalles Bibliográficos
Autores principales: Tritchler, David, Towle-Miller, Lorin M, Miecznikowski, Jeffrey C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710612/
https://www.ncbi.nlm.nih.gov/pubmed/36700111
http://dx.doi.org/10.1093/bioadv/vbab018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710612/
https://www.ncbi.nlm.nih.gov/pubmed/36700111
http://dx.doi.org/10.1093/bioadv/vbab018

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