Predicting cancer-relevant proteins using an improved molecular similarity ensemble approach

In this study, we proposed an improved algorithm for identifying proteins relevant to cancer. The algorithm was named two-layer molecular similarity ensemble approach (TL-SEA). We applied TL-SEA to analyzing the correlation between anticancer compounds (against cell lines K562, MCF7 and A549) and ac...

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Detalles Bibliográficos
Autores principales: Zhou, Bin, Sun, Qi, Kong, De-Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078021/
https://www.ncbi.nlm.nih.gov/pubmed/27083051
http://dx.doi.org/10.18632/oncotarget.8716

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078021/
https://www.ncbi.nlm.nih.gov/pubmed/27083051
http://dx.doi.org/10.18632/oncotarget.8716

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