Bipartite network analysis reveals metabolic gene expression profiles that are highly associated with the clinical outcomes of acute myeloid leukemia

Fanfan Xie, Mingxiong He, Li He, Keqin Liu, Menglong Li, Guoquan Hu, Zhining Wen. Bipartite network analysis reveals metabolic gene expression profiles that are highly associated with the clinical outcomes of acute myeloid leukemia. Computers & Chemistry, 67:150-157, 2017. [doi]

@article{XieHHLLHW17,
  title = {Bipartite network analysis reveals metabolic gene expression profiles that are highly associated with the clinical outcomes of acute myeloid leukemia},
  author = {Fanfan Xie and Mingxiong He and Li He and Keqin Liu and Menglong Li and Guoquan Hu and Zhining Wen},
  year = {2017},
  doi = {10.1016/j.compbiolchem.2017.01.002},
  url = {http://dx.doi.org/10.1016/j.compbiolchem.2017.01.002},
  researchr = {https://researchr.org/publication/XieHHLLHW17},
  cites = {0},
  citedby = {0},
  journal = {Computers & Chemistry},
  volume = {67},
  pages = {150-157},
}