RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials

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30 Citations (Scopus)

Original language	English
Pages (from-to)	i601-i609
Journal	Bioinformatics (Oxford, England)
Volume	36
Issue number	2
DOIs	https://doi.org/10.1093/bioinformatics/btaa799
Publication status	Published - 2020

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@article{08b2a97830a240e89ba921826d79e3b8,

title = "RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials",

author = "Ubels, \{J (Joske)\} and T Schaefers and C Punt and HJ Guchelaar and J Ridder",

year = "2020",

doi = "10.1093/bioinformatics/btaa799",

language = "English",

volume = "36",

pages = "i601--i609",

journal = "Bioinformatics (Oxford, England)",

issn = "1367-4811",

publisher = "Oxford University Press",

number = "2",

}

TY - JOUR

T1 - RAINFOREST: a random forest approach to predict treatment benefit in data from (failed) clinical drug trials

AU - Ubels, J (Joske)

AU - Schaefers, T

AU - Punt, C

AU - Guchelaar, HJ

AU - Ridder, J

PY - 2020

Y1 - 2020

U2 - 10.1093/bioinformatics/btaa799

DO - 10.1093/bioinformatics/btaa799

M3 - Article

SN - 1367-4811

SN - 1460-2059

VL - 36

SP - i601-i609

JO - Bioinformatics (Oxford, England)

JF - Bioinformatics (Oxford, England)

IS - 2

ER -