Modeling the DNA copy number aberration patterns in observational high-throughput cancer data

Research output: Contribution to journal › Article › Academic › peer-review

Original language	Undefined/Unknown
Pages (from-to)	143-174
Journal	Statistical Applications in Genetics and Molecular Biology
Volume	12
Issue number	2
DOIs	https://doi.org/10.1515/sagmb-2012-0020
Publication status	Published - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{00107b703f19471d83d281298f952336,

title = "Modeling the DNA copy number aberration patterns in observational high-throughput cancer data",

author = "\{van Wieringen\}, W.N. and B.P. Ros and S.M. Wilting",

year = "2013",

doi = "10.1515/sagmb-2012-0020",

language = "Undefined/Unknown",

volume = "12",

pages = "143--174",

journal = "Statistical Applications in Genetics and Molecular Biology",

issn = "2194-6302",

publisher = "Walter de Gruyter GmbH",

number = "2",

}

TY - JOUR

T1 - Modeling the DNA copy number aberration patterns in observational high-throughput cancer data

AU - van Wieringen, W.N.

AU - Ros, B.P.

AU - Wilting, S.M.

PY - 2013

Y1 - 2013

U2 - 10.1515/sagmb-2012-0020

DO - 10.1515/sagmb-2012-0020

M3 - Article

SN - 2194-6302

VL - 12

SP - 143

EP - 174

JO - Statistical Applications in Genetics and Molecular Biology

JF - Statistical Applications in Genetics and Molecular Biology

IS - 2

ER -