Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

Combinatorial treatments have become a standard of care for various complex diseases including cancers. Here, the authors show that combinatorial responses of two anticancer drugs can be accurately predicted using factorization machines trained on large-scale pharmacogenomic data for guiding precisi...

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Autores principales:	Heli Julkunen, Anna Cichonska, Prson Gautam, Sandor Szedmak, Jane Douat, Tapio Pahikkala, Tero Aittokallio, Juho Rousu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1dbe0a68db6948d0bdbef3a4f57cf4b3
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spelling	oai:doaj.org-article:1dbe0a68db6948d0bdbef3a4f57cf4b32021-12-02T14:42:47ZLeveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects10.1038/s41467-020-19950-z2041-1723https://doaj.org/article/1dbe0a68db6948d0bdbef3a4f57cf4b32020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19950-zhttps://doaj.org/toc/2041-1723Combinatorial treatments have become a standard of care for various complex diseases including cancers. Here, the authors show that combinatorial responses of two anticancer drugs can be accurately predicted using factorization machines trained on large-scale pharmacogenomic data for guiding precision oncology studies.Heli JulkunenAnna CichonskaPrson GautamSandor SzedmakJane DouatTapio PahikkalaTero AittokallioJuho RousuNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Heli Julkunen Anna Cichonska Prson Gautam Sandor Szedmak Jane Douat Tapio Pahikkala Tero Aittokallio Juho Rousu Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
description	Combinatorial treatments have become a standard of care for various complex diseases including cancers. Here, the authors show that combinatorial responses of two anticancer drugs can be accurately predicted using factorization machines trained on large-scale pharmacogenomic data for guiding precision oncology studies.
format	article
author	Heli Julkunen Anna Cichonska Prson Gautam Sandor Szedmak Jane Douat Tapio Pahikkala Tero Aittokallio Juho Rousu
author_facet	Heli Julkunen Anna Cichonska Prson Gautam Sandor Szedmak Jane Douat Tapio Pahikkala Tero Aittokallio Juho Rousu
author_sort	Heli Julkunen
title	Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
title_short	Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
title_full	Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
title_fullStr	Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
title_full_unstemmed	Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
title_sort	leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/1dbe0a68db6948d0bdbef3a4f57cf4b3
work_keys_str_mv	AT helijulkunen leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT annacichonska leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT prsongautam leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT sandorszedmak leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT janedouat leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT tapiopahikkala leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT teroaittokallio leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects AT juhorousu leveragingmultiwayinteractionsforsystematicpredictionofpreclinicaldrugcombinationeffects
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Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects

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