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DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization

The ability to predict the drug response for cancer disease based on genomics information is an essential problem in modern oncology, leading to personalized treatment. By predicting accurate anticancer responses, oncologists achieve a complete understanding of the effective treatment for each patie...

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Detalles Bibliográficos
Autores principales:	Emdadi, Akram, Eslahchi, Changiz
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056895/ https://www.ncbi.nlm.nih.gov/pubmed/32174963 http://dx.doi.org/10.3389/fgene.2020.00075

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