| 1 |
Dinesh Singh, Phillip G. Febbo, et al, Gene expression correlates of clinical prostate cancer behavior, the Center Cell vol.1, issue2, March 200, pp.200-209
DOI
ScienceOn
|
| 2 |
Barrett MT, Scheffer A, et al, Comparative genomic hybridization using oligonucleotide microarrays and total genomic DNA, Proc. National Academy of Sciences USA, 2004 Dec. 21
|
| 3 |
D.J. Lockhart, H.L. Dong, M.C. Byrne, M.T. Follettie, M.V. Gallo, M.S. Chee, M. Mittmann, C.W. Wang, M. Kobayashi, H. Horton, E.L. Brown, Expression monitoring by hybridization to high-density oligonucleotide arrays, Nature Biotechnology, Vol.14 No.13, pp.1675-1680, 1996.
DOI
ScienceOn
|
| 4 |
J.L. DeRisi, V.R. Iver, P.O. Brown, Exploring the metabolic and genetic control of gene expression on a genomic scale, Science, Vol.278 No.5338, pp.680-686, 1997.
DOI
ScienceOn
|
| 5 |
C. Debouck, P.N. Goodfellow, DNA microarrays in drug discovery and development, Nature Genetics, Vol.21 No.1 suppl, pp.48-50, 1999.
DOI
ScienceOn
|
| 6 |
D. Bowtell, J. Sambrook, DNA Microarrays, CSHL Press, 2002.
|
| 7 |
E.K. Tang, P.N. Suganthan and X.Yao, Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization, Computational Intelligence in Bioinformatics and Computational Biology(CIBCB), pp.1-8, 2005
|
| 8 |
Hualong Yu, Guochan Gu, Haibo Liu, Jing Shen, Changming Zhu, A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-based Tumor Marker Gene Selection, International Conference on Computer Science and Software Engineering, pp.1057-1060, 2008
DOI
|
| 9 |
X. Xiao, E.R. Dow, R. Eberhart, Z.B. Miled, R.J. Oppelt, Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization, IEEE International Workshop On High Performance Computational Biology, 2003.
|
| 10 |
M.B. Eisen, P.T. Spellman, P.O. Browndagger, D. Botstein, Cluster analysis and display of genome-wide expression patterns, Proceedings of the National Academy of Sciences of the United States of America (PNAS), Vol.95, No.25, pp.14863-14868, 1998.
DOI
|
| 11 |
I.D. Falco, A.D. Cioppa, E. Tarantino, Facing classification problems with Particle Swarm Optimization, Soft Computing, Vol.7, No.3, pp.652-658, June 2007.
DOI
ScienceOn
|
| 12 |
DNA chip. http://mbel.kaist.ac.kr/research/DNAchip_en.html
|
| 13 |
J. Han, M. Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann, 2001.
|
| 14 |
I.H. Witten, E. Frank, Data Mining : Practical Machine Learning Tools and Techniques, 2nd edition, Morgan Kaufmann, 2005.
|
| 15 |
J.H. Holland, Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, MA, 1992.
|
| 16 |
Sudipto Guha, Rajeev Rastogi, Kyuscok Shim, CURE: And Efficient clustering Algorithm for Large Databases, Proc. ACM SIGMOD Int Conf. on Management of Data, pp.73-84, New York, 1998
DOI
|
| 17 |
K.E. Parsopoulos, M.N. Vrahatis, Recent approaches to global optimization problems through Particle Swarm Optimization, Natural Computing Vol.1, No.2-3, pp.235-306, June 2002.
DOI
ScienceOn
|
| 18 |
Y. Shi, R.C. Eberhart, Parameter selection in particle swarm optimization, Proceedings of Evolutionary Programming VII, pp.591-600, 1998
|
| 19 |
Qi Shen, Wei-Min Shi, Wei Kong, Bao-Xian Ye, A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification, Talanta, Vol.71, No.4, pp.1679-1683, 2007
DOI
ScienceOn
|
webmaster
