Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization

BACKGROUND: Synthetic lethality has attracted a lot of attentions in cancer therapeutics due to its utility in identifying new anticancer drug targets. Identifying synthetic lethal (SL) interactions is the key step towards the exploration of synthetic lethality in cancer treatment. However, biologic...

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Detalles Bibliográficos
Autores principales: Huang, Jiang, Wu, Min, Lu, Fan, Ou-Yang, Le, Zhu, Zexuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929405/
https://www.ncbi.nlm.nih.gov/pubmed/31870274
http://dx.doi.org/10.1186/s12859-019-3197-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929405/
https://www.ncbi.nlm.nih.gov/pubmed/31870274
http://dx.doi.org/10.1186/s12859-019-3197-3

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