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A genotype imputation method for de-identified haplotype reference information by using recurrent neural network

Fig 3

The structure of the forward RNN for each observed variant for the case of four stacked RNN cells.

and are input feature vectors for observed variants v_i and v_i+1, respectively. is the state of the RNN cell of the jth layer for observed variant v_i and used as the input of the state for the RNN cell of the jth layer for observed variant v_i+1. The output of the RNN cell of the top layer, o_i,4, is handled as the output of RNN for each observed variant.

doi: https://doi.org/10.1371/journal.pcbi.1008207.g003