Machine-learning techniques for the prediction of protein–protein interactions

@article{Sarkar2019MachinelearningTF,
  title={Machine-learning techniques for the prediction of protein–protein interactions},
  author={Debasree Sarkar and S. Saha},
  journal={Journal of Biosciences},
  year={2019},
  volume={44},
  pages={1-12}
}
Protein–protein interactions (PPIs) are important for the study of protein functions and pathways involved in different biological processes, as well as for understanding the cause and progression of diseases. Several high-throughput experimental techniques have been employed for the identification of PPIs in a few model organisms, but still, there is a huge gap in identifying all possible binary PPIs in an organism. Therefore, PPI prediction using machine-learning algorithms has been used in… Expand
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