Identifying multi-hit carcinogenic gene combinations: Scaling up a weighted set cover algorithm using compressed binary matrix representation on a GPU

Despite decades of research, effective treatments for most cancers remain elusive. One reason is that different instances of cancer result from different combinations of multiple genetic mutations (hits). Therefore, treatments that may be effective in some cases are not effective in others. We previ...

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Detalles Bibliográficos
Autores principales: Al Hajri, Qais, Dash, Sajal, Feng, Wu-chun, Garner, Harold R., Anandakrishnan, Ramu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005272/
https://www.ncbi.nlm.nih.gov/pubmed/32029803
http://dx.doi.org/10.1038/s41598-020-58785-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005272/
https://www.ncbi.nlm.nih.gov/pubmed/32029803
http://dx.doi.org/10.1038/s41598-020-58785-y

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