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A joint modeling approach for uncovering associations betwe..:
Perualila-Tan, Nolen
;
Kasim, Adetayo
;
Talloen, Willem
...
Statistical Applications in Genetics and Molecular Biology. 15 (2016) 4 - p. 291-304 , 2016
Link:
https://doi.org/10.1515/sagmb-2014-0086
RT Journal T1 <Title>A joint modeling approach for uncovering associations between gene expression, bioactivity and chemical structure in early drug discovery to guide lead selection and genomic biomarker development</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1515_sagmb-2014-0086&Exemplar=1&LAN=DE A1 Perualila-Tan, Nolen A1 Kasim, Adetayo A1 Talloen, Willem A1 Verbist, Bie A1 Göhlmann, Hinrich W.H. A1 QSTAR Consortium A1 Shkedy, Ziv PB Walter de Gruyter GmbH YR 2016 SN 1544-6115 SN 2194-6302 JF Statistical Applications in Genetics and Molecular Biology VO 15 IS 4 SP 291 OP 304 LK http://dx.doi.org/https://doi.org/10.1515/sagmb-2014-0086 DO https://doi.org/10.1515/sagmb-2014-0086 SF ELIB - SuUB Bremen
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