Extract‐SAGE: An integrated platform for crossanalysis and GAbased selection of SAGE data

@article{Yang2009ExtractSAGEAI,
  title={Extract‐SAGE: An integrated platform for crossanalysis and GAbased selection of SAGE data},
  author={Cheng-Hong Yang and Tsung‐Mu Shih1 and Yu-Chen Hung and H. Chang and L. Chuang},
  journal={Bioinformation},
  year={2009},
  volume={3},
  pages={291 - 292}
}
Serial analysis of gene expression (SAGE) is a powerful quantification technique for gene expression data. The huge amount of tag data in SAGE libraries of samples is difficult to analyze with current SAGE analysis tools. Data is often not provided in a biologically significant way for cross‐analysis and ‐comparison, thus limiting its application. Hence, an integrated software platform that can perform such a complex task is required. Here, we implement set theory for cross‐analyzing gene… Expand
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