Network-based analysis for identification of candidate genes for colorectal cancer progression.

@article{Tsuji2016NetworkbasedAF,
  title={Network-based analysis for identification of candidate genes for colorectal cancer progression.},
  author={Shingo Tsuji and Yutaka Midorikawa and Motoaki Seki and Tadatoshi Takayama and Yasuyuki Sugiyama and Hiroyuki Aburatani},
  journal={Biochemical and biophysical research communications},
  year={2016},
  volume={476 4},
  pages={534-540}
}
Although high-throughput biological technologies have been producing a vast amount of multi-omics data regarding cancer genomics and several disease susceptible genes have been reported, many of these genes are likely to be irrelevant for the cancer process because only one feature of the tumor pathway could be focused on. By identifying 'CpG core', which was extracted from CpG sites in genomic DNA by our newly developed method, we performed integrated analysis using gene expression and DNA… CONTINUE READING
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