Bioinformatics › Structural Variant Detection Research
Machine Learning Models for SV Classification
Interns will develop and train machine learning models to classify and predict structural variants from genomic data. This includes feature engineering, model optimization, and evaluation of classification accuracy using benchmark datasets.
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