Morris Lab
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About
The Quaid Morris Lab employs machine learning techniques to enhance our understanding of biological processes. Their research projects include cancer genomics, where they analyze tumor evolution, and post-transcriptional regulation, which involves studying RNA-binding proteins and mRNA processing. Additionally, they explore genotype-to-phenotype relationships in yeast and utilize unsupervised learning for precision medicine, blending biological and clinical data to create innovative disease predictors. The lab is overseen by Quaid Morris and includes a diverse team dedicated to research and academia.
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Features
• cancer genomics
• post-transcriptional regulation
• genotype-to-phenotype analysis
• precision medicine innovations
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