Biogeography-based informative gene selection and cancer classification using SVM and random forests

S Nikumbh, S Ghosh - 2012 IEEE Congress on Evolutionary …, 2012 - ieeexplore.ieee.org
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …
被引用次数：37 相关文章
[PDF] psu.edu

[PDF][PDF] Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests

S Nikumbh, S Ghosh, VK Jayaraman - Citeseer
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …
[PDF] archive.org

[PDF][PDF] Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests

S Nikumbh, S Ghosh, VK Jayaraman - scholar.archive.org
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …
[PDF] academia.edu

[PDF][PDF] Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests

S Nikumbh, S Ghosh, VK Jayaraman - academia.edu
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …

Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests

S Nikumbh, S Ghosh, V Jayaraman - arXiv e-prints, 2012 - ui.adsabs.harvard.edu
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …

Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests

S Nikumbh, S Ghosh, V Jayaraman - arXiv preprint arXiv:1207.3285, 2012 - arxiv.org
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …

Biogeography-based informative gene selection and cancer classification using SVM and Random Forests

S Nikumbh, S Ghosh, VK Jayaraman - 2012 IEEE Congress on Evolutionary … - infona.pl
Microarray cancer gene expression data comprise of very high dimensions. Reducing the
dimensions helps in improving the overall analysis and classification performance. We …