Title :
Routes to identify marker genes for microarray classification
Author :
Schachtner, R. ; Lutter, D. ; Stadlthanner, K. ; Lang, E.W. ; Schmitz, G. ; Tome, A.M. ; Gomez Vilda, P.
Author_Institution :
Univ. of Regensburg, Regensburg
Abstract :
Support vector machines are applied to extract marker genes from various microarray data sets: breast cancer, leukemia and monocyte - macrophage differentiation to ease classification of related pathologies or characterize related gene regulation pathways.
Keywords :
cancer; cellular biophysics; genetics; molecular biophysics; support vector machines; breast cancer; gene regulation pathway; leukemia; marker genes; microarray classification; monocyte-macrophage differentiation; pathology; support vector machines; Biochemical analysis; Biomedical signal processing; Breast cancer; Data mining; Gene expression; Image analysis; Pathology; RNA; Support vector machine classification; Support vector machines; Animals; Computer Simulation; Databases, Genetic; Gene Expression Profiling; Gene Expression Regulation; Humans; Oligonucleotide Array Sequence Analysis; Sensitivity and Specificity; Software;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353368
