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Network-based biomarkers enhance classical approaches to prognostic gene expression signatures.

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Title: Network-based biomarkers enhance classical approaches to prognostic gene expression signatures.
Authors: Barter, Rebecca L.1, Schramm, Sarah-Jane2,3, Mann, Graham J.2,3, Yee Hwa Yang1,3 jean.yang@sydney.edu.au
Source: BMC Systems Biology. 8 Supplement 4, Vol. 8, p1-16. 16p.
Database: Academic Search Ultimate
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  Data: Network-based biomarkers enhance classical approaches to prognostic gene expression signatures.
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  Data: <searchLink fieldCode="AR" term="%22Barter%2C+Rebecca+L%2E%22">Barter, Rebecca L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Schramm%2C+Sarah-Jane%22">Schramm, Sarah-Jane</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Mann%2C+Graham+J%2E%22">Mann, Graham J.</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yee+Hwa+Yang%22">Yee Hwa Yang</searchLink><relatesTo>1,3</relatesTo><i> jean.yang@sydney.edu.au</i>
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  Data: <searchLink fieldCode="JN" term="%22BMC+Systems+Biology%22">BMC Systems Biology</searchLink>. 8 Supplement 4, Vol. 8, p1-16. 16p.
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        Value: 10.1186/1752-0509-8-S4-S5
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      – Code: eng
        Text: English
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      – TitleFull: Network-based biomarkers enhance classical approaches to prognostic gene expression signatures.
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            NameFull: Schramm, Sarah-Jane
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            NameFull: Mann, Graham J.
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              Text: 8 Supplement 4
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