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Nov 26, 2024
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2013-2014 Undergraduate and Graduate Catalog (without addenda) [ARCHIVED CATALOG]
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BI 7633 Microarray Analysis3 Credits
This course will train students how to analyze DNA microarrays experiments. In first part of the course, students will gain practical experience using R (Bio Conductor pack- ages) in pre processing microarray data, normalization and summarizing expression data, putting data together for filtering, differential expression, clustering annotations to identify differentially expressed genes and relevant pathways. The second part of the course focuses on labs from Bio Conductor work- shops, review of computational approaches for studying gene expression data. Data mining techniques such as linear modeling for time course data analysis, learning algorithms like support vector machines for classification problems and meta-analysis across experiments are introduced.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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