Robust feature selection for high-dimensional and small-sized gene expression data

• Main Author: Yang, Feng
• Other Authors: Mao Kezhi
• Format: Theses and Dissertations
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: https://hdl.handle.net/10356/48641
• Institution: Nanyang Technological University

One important issue in constructing a pattern recognition system is feature selection. The goal of feature selection, including feature ranking and feature subset selection, is to identify target-relevant features. When applied to high-dimensional and small-sized (HDSS) data, e.g. microarray gene ex...