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Chapter and Conference Paper
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes
In current molecular biology, it becomes more and more important to identify characteristic genes closely correlated with a key biological process from gene expression data. In this paper, a novel compressed s...
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Chapter and Conference Paper
A Simple Review of Sparse Principal Components Analysis
Principal Component Analysis (PCA) is a common tool for dimensionality reduction and feature extraction, which has been applied in many fields, such as biology, medicine, machine learning and bioinformatics. B...
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Chapter and Conference Paper
A Two-Stage Sparse Selection Method for Extracting Characteristic Genes
In this paper, we view gene selection as a feature selection issue, evaluate the response to the abiotic stresses of the genes in a holistic way and propose the Two-Stage Sparse Selection (TSSS) method for gen...