Journal of Proteomics & Bioinformatics
Open Access

Huai Li and Ming Zhan

Publications

• Research Article
  Identifying Conserved and Divergent Transcriptional Modules by Cross-species Matrix Decomposition on Microarray Data
  Author(s): Huai Li and Ming ZhanHuai Li and Ming Zhan
  
  Cross-species comparison of gene expression profiles allows deciphering fundamental and species-specific transcriptional programs of cells and offers insight into organization and evolution of the genome and genetic network. Here, we propose an algorithm for comparing microarray data from different species to unravel transcriptional modules that are conserved or divergent through evolution. The proposed algorithm is based on cross-species matrix decomposition that includes a nonlinear independent component analysis followed a generalized probabilistic sparse matrix factorization on microarray data from different species. The proposed algorithm captures transcriptional modularity that might result from highly nonlinear interactions among genes, and partitions genes into mutually non-exclusive transcriptional modules. The conserved transcriptional modules are identified.. View More»
  DOI: 10.4172/jpb.1000068

  Abstract PDF

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