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University of Cambridge > Talks.cam > Artificial Intelligence Research Group Talks (Computer Laboratory) > Computational foundations of morphogenomics
Computational foundations of morphogenomicsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mateja Jamnik. Genomic data are available at unprecedented scales due to developments in high throughput sequencing and imaging technologies. In parallel, innovations in statistics and machine learning boast successful algorithms for a wide array of engineering applications. However, bridging these two worlds—the world of real, messy biological data, and that of algorithms and computation—remains challenging. In this talk, I will review recent attempts to extract interpretable representations in genomics and imaging studies. I will discuss pitfalls and formulate open questions with an emphasis on statistical challenges arising from both data collection and data analysis, with the final goal of building a foundation for and testing the limits of computational morphogenomics – the attempt to determine shape, form and trajectory from genomic information. This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series. This talk is included in these lists:
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