Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Douat, Jane"'
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
Autor:
Julkunen, Heli, Cichonska, Anna, Gautam, Prson, Szedmak, Sandor, Douat, Jane, Pahikkala, Tapio, Aittokallio, Tero, Rousu, Juho
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature Communications
Nature Communications
We present comboFM, a machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells. comboFM models the cell context-specific drug interactions through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::aef796d9a1a8a8c89449276014e3741e
https://doaj.org/article/1dbe0a68db6948d0bdbef3a4f57cf4b3
https://doaj.org/article/1dbe0a68db6948d0bdbef3a4f57cf4b3
Autor:
Julkunen, Heli, Cichonska, Anna, Gautam, Prson, Szedmak, Sandor, Douat, Jane, Pahikkala, Tapio, Aittokallio, Tero
This repository contains the data used in [1] for predicting the responses of drug combinations in cancer cell lines. Thedata comes from NCI-ALMANAC dataset generated by the US National Cancer Institute(https://dtp.cancer.gov/ncialmanac/).The subset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1688a12aabd60e91716fb5f07d8bd05f
