Early detection of epithelial ovarian cancer using a proteomics-based protein-profiling approach combined with a novel selection strategy.

N. Kothandaraman; Vladimir Bajic; A. Loganath; S. Koh; J. Ng; M. Choolani; K. Razvi

Early detection of epithelial ovarian cancer using a proteomics-based protein-profiling approach combined with a novel selection strategy.

N. Kothandaraman^*, Vladimir Bajic, A. Loganath, S. Koh, J. Ng, M. Choolani, K. Razvi

^*Corresponding author for this work

Computer, Electrical and Mathematical Sciences and Engineering

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

Original language	English (US)
Journal	Annals of the Academy of Medicine, Singapore
Volume	33
Issue number	5 Suppl
State	Published - Jan 1 2004

ASJC Scopus subject areas

Medicine(all)

UN SDGs

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

Cite this

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title = "Early detection of epithelial ovarian cancer using a proteomics-based protein-profiling approach combined with a novel selection strategy.",

author = "N. Kothandaraman and Vladimir Bajic and A. Loganath and S. Koh and J. Ng and M. Choolani and K. Razvi",

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volume = "33",

journal = "Annals of the Academy of Medicine, Singapore",

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TY - JOUR

T1 - Early detection of epithelial ovarian cancer using a proteomics-based protein-profiling approach combined with a novel selection strategy.

AU - Kothandaraman, N.

AU - Bajic, Vladimir

AU - Loganath, A.

AU - Koh, S.

AU - Ng, J.

AU - Choolani, M.

AU - Razvi, K.

PY - 2004/1/1

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M3 - Article

C2 - 15651211

AN - SCOPUS:13844281808

SN - 0304-4602

VL - 33

JO - Annals of the Academy of Medicine, Singapore

JF - Annals of the Academy of Medicine, Singapore

IS - 5 Suppl

ER -

Early detection of epithelial ovarian cancer using a proteomics-based protein-profiling approach combined with a novel selection strategy.

ASJC Scopus subject areas

UN SDGs

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