Linear functional organization of the omic embedding space

MOTIVATION: We are increasingly accumulating complex omics data that capture different aspects of cellular functioning. A key challenge is to untangle their complexity and effectively mine them for new biomedical information. To decipher this new information, we introduce algorithms based on network...

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Detalles Bibliográficos
Autores principales: Xenos, A, Malod-Dognin, N, Milinković, S, Pržulj, N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570782/
https://www.ncbi.nlm.nih.gov/pubmed/34213534
http://dx.doi.org/10.1093/bioinformatics/btab487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570782/
https://www.ncbi.nlm.nih.gov/pubmed/34213534
http://dx.doi.org/10.1093/bioinformatics/btab487

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