Identifying potential biomarkers for FASD and GBM among alternative splicing events in WBCs using LSTM.
LSTM Prediction Problem type: Many to One Sequence Classification problem. Given an input sequence, remember and predict the integer at a specific input location.
To reduce stochasticity: Output was made consistent by fixing the NumPy random number seed to 007. Model was evaluated multiple times and the average of the final score was taken.