When answering this question, focus on a specific project where you successfully applied machine learning techniques to solve a bioinformatics problem. Start by briefly describing the project and its objectives. Then, explain the machine learning methods you used, why you chose them, and how they were implemented. Highlight any challenges you faced and how you overcame them. Finally, discuss the results and the impact of your work. For example:
"In my previous role, I worked on a project to predict protein-protein interactions using machine learning. The objective was to develop a model that could accurately predict interactions based on protein sequence data. I used a combination of feature extraction techniques and a random forest classifier. One of the main challenges was dealing with the imbalanced dataset, which I addressed by using SMOTE for oversampling. The model achieved an accuracy of 85%, which was a significant improvement over existing methods, and it was later used to identify potential drug targets."
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