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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| 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 |