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Machine learning applications in genetic regulation and cancer

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If you have a question about this talk, please contact Florian Markowetz .

The talk will cover work we have been doing recently using machine learning to analyse genomic data sets (microarrays, ChIP-seq, RNA -seq) relevant to genetic regulation, cellular differentiation and cancer. Applications will include predictive models of gene expression, and cancer classification.

This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.

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