Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data

Author： ErdoÄŸdu Utku Tan Mehmet Alhajj Reda Polat Faruk Rokne Jon Demetrick Douglas

Publisher： Inderscience Publishers

ISSN： 1748-5673

Source： International Journal of Data Mining and Bioinformatics, Vol.8, Iss.3, 2013-08, pp. : 247-281

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Combining multiple perspective as intelligent agents into robust approach for biomarker detection in gene expression data

By Alshalalfa Mohammed Naji Ghada Qabaja Ala Alhajj Reda Rokne Jon

International Journal of Data Mining and Bioinformatics, Vol. 5, Iss. 3, 2011-05 ,pp. : 332-350

Inderscience Publishers

Access to resources Recommend Favorite

APPLYING DATA MINING TECHNIQUES FOR CANCER CLASSIFICATION ON GENE EXPRESSION DATA

By Yeh Jinn-Yi

Cybernetics and Systems, Vol. 39, Iss. 6, 2008-08 ,pp. : 583-602

Taylor & Francis Ltd

Access to resources Recommend Favorite

Robust Learning with Missing Data

By Ramoni M.

Machine Learning, Vol. 45, Iss. 2, 2001-11 ,pp. : 147-170

Springer Publishing Company

Access to resources Recommend Favorite

Integrating working and enrichment approach learning: a document

By Mulholland Paul Zdrahal Zdenek John Domingue John Hatala Marek

Behaviour and Information Technology, Vol. 19, Iss. 3, 2000-05 ,pp. : 171-180

Taylor & Francis Ltd

Access to resources Recommend Favorite

Data mining on temporal data: a visual approach and its clinical application to hemodialysis

By Chittaro L. Combi C. Trapasso G.

Journal of Visual Languages & Computing, Vol. 14, Iss. 6, 2003-12 ,pp. : 591-620

Elsevier

Access to resources Recommend Favorite