PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning

Metastatic cancer accounts for over 90% of all cancer deaths, and evaluations of metastasis potential are vital for minimizing the metastasis-associated mortality and achieving optimal clinical decision-making. Computational assessment of metastasis potential based on large-scale transcriptomic canc...

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Detalles Bibliográficos
Autores principales: Zhou, Junyi, Lu, Xiaoyu, Chang, Wennan, Wan, Changlin, Lu, Xiongbin, Zhang, Chi, Cao, Sha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992993/
https://www.ncbi.nlm.nih.gov/pubmed/35349572
http://dx.doi.org/10.1371/journal.pcbi.1009956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992993/
https://www.ncbi.nlm.nih.gov/pubmed/35349572
http://dx.doi.org/10.1371/journal.pcbi.1009956

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