Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.
A machine learning-based application for predicting cervical cancer using SMOTE (Synthetic Minority Over-sampling Technique) and RFERF (Recursive Feature Elimination with Random Forest).
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