An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets

• Published in: Information (Basel) Vol. 10; no. 3; p. 109
• Main Authors: Cilia, Nicole Dalia, De Stefano, Claudio, Fontanella, Francesco, Raimondo, Stefano, Scotto di Freca, Alessandra
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 10.03.2019
• Subjects: Algorithms; Biopsy; Breast cancer; Cancer; Classification; classification methods; Colon; Complexity; Datasets; DNA chips; DNA microarrays; Experiments; feature ranking; Feature selection; Gene expression; Leukemia; Lung cancer; Lymphoma; Medical research; Ovarian cancer

In the last decade, there has been a growing scientific interest in the analysis of DNA microarray datasets, which have been widely used in basic and translational cancer research. The application fields include both the identification of oncological subjects, separating them from the healthy ones,...