Fig 1.
Comparison between deep learning and shallow learning.
Fig 2.
Definition to deep learning.
Fig 3.
Structure of CNN.
Fig 4.
Composition of CNN.
Fig 5.
Schematic diagram of LSTM network structure.
Fig 6.
Curves of three activation functions.
Fig 7.
Four-bit one-hot encoding of the RNA sequence.
Fig 8.
Algorithm flow of the CNN + LSTM model.
Fig 9.
Data sets of the model (a) mRNA; (b) protein.
Fig 10.
ROC curve of the model.
Fig 11.
Changes of lignin deposition in the thin-shell walnut during endocarp hardening.
Fig 12.
Confusion matrix of the model.
Fig 13.
Results of the five-fold cross-validation of DEG screening and prediction (a: Accuracy; b: Loss).
Fig 14.
Comparison of results of different algorithms.
Fig 15.
ROC curves of CNN + LSTM model and traditional algorithms.