Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion

Algorithm 1

Pseudo code of the algorithm.

Algorithm: Pseudo algorithm for predicting DNA-binding protein

Input: Training dataset after data preprocessing

1 initialize weights

2 when iteration n =1:

3 for n < max epoch:

4  for input_data x₁ to x_L:

5  a. protein sequence features as input through LSTM

6  b. PSSM matrix as input through CNN

7  c.Fuse sequence feature information and PSSM information, and input into the fully connected neural network.

8  d. calculate loss function

9  e. find the optimal parameter gradient

10  f. update network parameters through back propagation

Output: Trained network parameters