Advancements in Genetic Engineering
Open Access

Jian Li

Publications

• Research Article
  Fusing Gene Interaction to Improve Disease Discrimination on Classification Analysis
  Author(s): Ji-Gang Zhang, Jian Li, Wenlong Tang and Hong-Wen Deng Ji-Gang Zhang, Jian Li, Wenlong Tang and Hong-Wen Deng
  
  It is usually observed that among genes there exist strong statistical interactions associated with diseases of public health importance. Gene interactions can potentially contribute to the improvement of disease classification accuracy. Especially when gene expression differs across different classes are not great enough, it is more important to take use of gene interactions for disease classification analyses. However, most gene selection algorithms in classification analyses merely focus on genes whose expression levels show differences across classes, and ignore the discriminatory information from gene interactions. In this study, we develop a two-stage algorithm that can take gene interaction into account during a gene selection procedure. Its biggest advantage is that it can take advantage of discriminatory information from gene interactions as well as gene expression dif.. View More»
  DOI: 10.4172/2169-0111.1000102

  Abstract PDF

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