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. 2020 Dec 23;22(4):bbaa354. doi: 10.1093/bib/bbaa354

Figure 1.

Figure 1

The framework of GCFM. (a) The whole flow chart of the multi-view structure feature representations. When two ncRNA sequences to be predicted are input, three feature representations (SSR, RNA SIR and SAR), will be extracted, respectively. BPPM represents the base-pairing probabilities matrix. (b) The overall architecture of the model. According to the obtained multi-view structure feature representations, the multi-view features are extracted through the convolution module. The final classification results are obtained through the GcForest module with cascading.