Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches

Betül Güvenç Paltun
Betül Güvenç Paltun

Briefings Bioinform., pp. 346-359, 2021.

Cited by: 0|Bibtex|Views19|DOI:https://doi.org/10.1093/bib/bbz153
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com|dblp.uni-trier.de

Abstract:

Predicting the response of cancer cell lines to specific drugs is one of the central problems in personalized medicine, where the cell lines show diverse characteristics. Researchers have developed a variety of computational methods to discover associations between drugs and cell lines, and improved drug sensitivity analyses by integratin...More

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