Morris Lab

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About
The Morris Lab is a prominent research group dedicated to applying advanced machine learning techniques to enhance our understanding of complex biological systems. Their extensive work is categorized into four main projects: Cancer Genomics, where they meticulously reconstruct the evolutionary history of tumors to observe cellular population dynamics; Post-transcriptional Regulation, involving the development of sophisticated computational methods to decode the regulatory mechanisms of RNA-binding proteins and mRNA processing; Genotype-to-phenotype, which explores mutant phenotypes using novel machine learning on S. cerevisiae strains; and Precision Medicine, where unsupervised learning is employed to integrate diverse biological and clinical data to predict disease trajectories. The lab actively publishes its findings in leading scientific journals and fosters a collaborative environment for researchers at various stages.
Platform
Features
• machine learning application
• rna-binding protein mechanism understanding
• tumor evolutionary history reconstruction
• computational method development
• precision medicine prediction
• genotype-to-phenotype exploration
• post-transcriptional regulation analysis
• cancer genomics research
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