Machine Learning for Transcriptome Classification

Bioinformatics › AI Transcriptome Bioinformatics Research

Machine Learning for Transcriptome Classification

Interns will develop and train machine learning models to classify samples based on transcriptomic profiles using techniques like random forests, neural networks, or support vector machines. They will focus on feature selection, model validation, and interpreting model predictions in the context of disease or phenotype classification.

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