Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection

Shan He; Xiaoli Li; H Yin; Peter Tino; E Corchado; William Byrne; Xin Yao

doi:10.1007/978-3-540-77226-2_86

Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection

Shan He
, Xiaoli Li
, H Yin
, Peter Tino
, E Corchado
, William Byrne
, Xin Yao

Computer Science

Research output: Contribution to conference (unpublished) › Paper

3 Citations (Scopus)

Original language	English
Pages	860-869
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-540-77226-2_86
Publication status	Published - 1 Dec 2007
Event	Intelligent Data Engineering and Automated Learning ( IDEAL 2007), Proceedings of 8th International Conference - Duration: 1 Dec 2007 → …

Conference

Conference	Intelligent Data Engineering and Automated Learning ( IDEAL 2007), Proceedings of 8th International Conference
Period	1/12/07 → …

UN SDGs

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

SDG 3 Good Health and Well-being

Access to Document

10.1007/978-3-540-77226-2_86

Cite this

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title = "Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection",

author = "Shan He and Xiaoli Li and H Yin and Peter Tino and E Corchado and William Byrne and Xin Yao",

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AU - He, Shan

AU - Li, Xiaoli

AU - Yin, H

AU - Tino, Peter

AU - Corchado, E

AU - Byrne, William

AU - Yao, Xin

PY - 2007/12/1

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T2 - Intelligent Data Engineering and Automated Learning ( IDEAL 2007), Proceedings of 8th International Conference

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