Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue

^*Corresponding author for this work

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

Original language	English
Pages (from-to)	165-189
Number of pages	0
Journal	Artificial Intelligence in Medicine
Volume	28
Issue number	2
DOIs	https://doi.org/10.1016/s0933-3657(03)00063-0
Publication status	Published - Jun 2003

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

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title = "Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue",

author = "Futschik, \{Matthias E.\} and Anthony Reeve and Nikola Kasabov",

year = "2003",

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language = "English",

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journal = "Artificial Intelligence in Medicine",

issn = "0933-3657",

publisher = "Elsevier B.V.",

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}

TY - JOUR

T1 - Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue

AU - Futschik, Matthias E.

AU - Reeve, Anthony

AU - Kasabov, Nikola

PY - 2003/6

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U2 - 10.1016/s0933-3657(03)00063-0

DO - 10.1016/s0933-3657(03)00063-0

M3 - Article

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VL - 28

SP - 165

EP - 189

JO - Artificial Intelligence in Medicine

JF - Artificial Intelligence in Medicine

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