Learning with multiple pairwise kernels for drug bioactivity prediction

MOTIVATION: Many inference problems in bioinformatics, including drug bioactivity prediction, can be formulated as pairwise learning problems, in which one is interested in making predictions for pairs of objects, e.g. drugs and their targets. Kernel-based approaches have emerged as powerful tools f...

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Detalles Bibliográficos
Autores principales: Cichonska, Anna, Pahikkala, Tapio, Szedmak, Sandor, Julkunen, Heli, Airola, Antti, Heinonen, Markus, Aittokallio, Tero, Rousu, Juho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022556/
https://www.ncbi.nlm.nih.gov/pubmed/29949975
http://dx.doi.org/10.1093/bioinformatics/bty277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022556/
https://www.ncbi.nlm.nih.gov/pubmed/29949975
http://dx.doi.org/10.1093/bioinformatics/bty277

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