A functional analysis of omic network embedding spaces reveals key altered functions in cancer

MOTIVATION: Advances in omics technologies have revolutionized cancer research by producing massive datasets. Common approaches to deciphering these complex data are by embedding algorithms of molecular interaction networks. These algorithms find a low-dimensional space in which similarities between...

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Detalles Bibliográficos
Autores principales: Doria-Belenguer, Sergio, Xenos, Alexandros, Ceddia, Gaia, Malod-Dognin, Noël, Pržulj, Nataša
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172038/
https://www.ncbi.nlm.nih.gov/pubmed/37084262
http://dx.doi.org/10.1093/bioinformatics/btad281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172038/
https://www.ncbi.nlm.nih.gov/pubmed/37084262
http://dx.doi.org/10.1093/bioinformatics/btad281

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