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

Matthias E. Futschik^*, Anthony Reeve, Nikola Kasabov

^*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

UN SDGs

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

@article{d920b3303a624eae866f105e006b0405,

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",

month = jun,

doi = "10.1016/s0933-3657(03)00063-0",

language = "English",

volume = "28",

pages = "165--189",

journal = "Artificial Intelligence in Medicine",

issn = "0933-3657",

publisher = "Elsevier B.V.",

number = "2",

}

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

Y1 - 2003/6

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

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

M3 - Article

SN - 0933-3657

VL - 28

SP - 165

EP - 189

JO - Artificial Intelligence in Medicine

JF - Artificial Intelligence in Medicine

IS - 2

ER -