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BMCS E4575

High-dimensional statistics for biomedical data

3.00 points · University catalogue

Statistical machine learning techniques and advanced mathematical concepts for analysis of high-dimensional biomedical data. Topics include optimal transport and probabilistic modeling for multi-modal genomic and imaging data integration and analysis of spatial and temporal dynamics. Programming assignments, problem sets, and a final project will be required.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

Prerequisites: ( APMA E2000 and COMS W4771 and MATH UN2010 ) or ( APMA E2101 ) Strong background in Python (or R) programming- Background in probability/statistics is recommended.

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