Dfhic: a dilated full convolution model to enhance the resolution of hi-c data

HIGHLIGHTS

  • who: Bin Wang et al. from the School of Computer Science and Engineering, South University, Changsha, China have published the research: DFHiC: A dilated full convolution model to enhance the resolution of Hi-C data, in the Journal: (JOURNAL)
  • what: The authors propose a novel method so-called DFHiC which generates the high-resolution Hi-C matrix from the low-resolution Hi-C matrix in the framework of the dilated convolutional neural network. Among the CNN-based methods, the main focus is on modifying the structure of the method and deepening the model. The authors . . .

     

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