Supervised learning is an accurate method for network-based gene classification

BACKGROUND: Assigning every human gene to specific functions, diseases and traits is a grand challenge in modern genetics. Key to addressing this challenge are computational methods, such as supervised learning and label propagation, that can leverage molecular interaction networks to predict gene a...

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Detalles Bibliográficos
Autores principales: Liu, Renming, Mancuso, Christopher A, Yannakopoulos, Anna, Johnson, Kayla A, Krishnan, Arjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267831/
https://www.ncbi.nlm.nih.gov/pubmed/32129827
http://dx.doi.org/10.1093/bioinformatics/btaa150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267831/
https://www.ncbi.nlm.nih.gov/pubmed/32129827
http://dx.doi.org/10.1093/bioinformatics/btaa150

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