Spring

CBMFW4761 Computational Genomics


In this course, we explore new computational approaches for studying genomic data, including biological sequence data and gene expression ("gene chip") data. Our focus is on machine learning techniques: probabilistic models such as hidden Markov models, learning algorithms like support vector machines and clustering for classification problems, Bayesian networks for inferring regulatory networks.




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