Machine Learning and Gene Expression Data
نویسنده
چکیده
Many biological experiments investigate the relationship between gene expression patterns and phenotypes. Machine learning algorithms provide a tool for gaining insight into this relationship. This lecture introduces machine learning, the diversity of machine learning algorithms available, and methods for assessing and interpreting the result of machine learning algorithms in light of our fundamental interest in the relationship between gene expression and phenotype. An accompanying lab provides hands-on experience.
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تاریخ انتشار 2006