Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer

@article{Bi2015GeneEP,
  title={Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer},
  author={Dongbin Bi and Hao Ning and Shuai Liu and Xinxiang Que and Kejia Ding},
  journal={Computational biology and chemistry},
  year={2015},
  volume={56},
  pages={
          71-83
        }
}
OBJECTIVES To explore molecular mechanisms of bladder cancer (BC), network strategy was used to find biomarkers for early detection and diagnosis. METHODS The differentially expressed genes (DEGs) between bladder carcinoma patients and normal subjects were screened using empirical Bayes method of the linear models for microarray data package. Co-expression networks were constructed by differentially co-expressed genes and links. Regulatory impact factors (RIF) metric was used to identify… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 37 REFERENCES

Gene discovery in bladder cancer progression using cDNA microarrays.

  • The American journal of pathology
  • 2003
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Alpha-smooth muscle actin (ACTA2) is required for metastatic potential of human lung adenocarcinoma.

  • Clinical cancer research : an official journal of the American Association for Cancer Research
  • 2013
VIEW 2 EXCERPTS

Using the DCGL 2.0 Package

J. Yang, H Yu
  • 2013

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