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CImbinator: a web-based tool for drug synergy analysis in small- and large-scale datasets

Åsmund Flobak, Miguel Vazquez, Astrid Lægreid, Alfonso Valencia, Jonathan Wren
2017 Bioinformatics  
Results: CImbinator is a web-service that can aid in batch-wise and in-depth analyzes of data from small-scale and large-scale drug combination screens.  ...  Motivation: Drug synergies are sought to identify combinations of drugs particularly beneficial. User-friendly software solutions that can assist analysis of large-scale datasets are required.  ...  Acknowledgements We thank Dr Emma Haagensen and Prof. Herbie Newell for kindly providing the raw data from their drug combination experiments. Conflict of Interest: none declared.  ... 
doi:10.1093/bioinformatics/btx161 pmid:28444126 pmcid:PMC5860113 fatcat:g4ju5tt2dfb2pkvn5ns2ep7l2e

Machine learning approaches to drug response prediction: challenges and recent progress

George Adam, Ladislav Rampášek, Zhaleh Safikhani, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg
2020 npj Precision Oncology  
The recent advances in deep learning may open a new chapter in the search for computational drug response prediction models and ultimately result in more accurate tools for therapy response.  ...  This review provides an overview of the computational challenges and advances in drug response prediction, and focuses on comparing the machine learning techniques to be of utmost practical use for clinicians  ...  In terms of the availability, there are more synergy visualization tools rather than synergy prediction tools available to date.  ... 
doi:10.1038/s41698-020-0122-1 pmid:32566759 pmcid:PMC7296033 fatcat:wznpdjf2ojgubbcgw3x4asrrgy