Research progress in machine learning methods for gene-gene interaction detection.

@article{Peng2018ResearchPI,
  title={Research progress in machine learning methods for gene-gene interaction detection.},
  author={Zhe-Ye Peng and Zi-Jun Tang and Minzhu Xie},
  journal={Yi chuan = Hereditas},
  year={2018},
  volume={40 3},
  pages={
          218-226
        }
}
Complex diseases are results of gene-gene and gene-environment interactions. However, the detection of high-dimensional gene-gene interactions is computationally challenging. In the last two decades, machine-learning approaches have been developed to detect gene-gene interactions with some successes. In this review, we summarize the progress in research on machine learning methods, as applied to gene-gene interaction detection. It systematically examines the principles and limitations of the… CONTINUE READING