Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia

@inproceedings{Zhang2010UsingGC,
  title={Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia},
  author={Jie Zhang and Yang Xiang and Liya Ding and Kristin Keen-Circle and Tara B Borlawsky and Hatice Gulcin Ozer and Ruoming Jin and Philip R. O. Payne and Kun Huang},
  booktitle={BMC Bioinformatics},
  year={2010}
}
BackgroundChronic lymphocytic leukemia (CLL) is the most common adult leukemia. It is a highly heterogeneous disease, and can be divided roughly into indolent and progressive stages based on classic clinical markers. Immunoglobin heavy chain variable region (IgVH) mutational status was found to be associated with patient survival outcome, and biomarkers linked to the IgVH status has been a focus in the CLL prognosis research field. However, biomarkers highly correlated with IgVH mutational… CONTINUE READING

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