The Faculty of Mathematics and Natural Sciences: Search
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Predicting Rules for Cancer Subtype Classification using Grammar-Based Genetic Programming on various Genomic Data Types
(2018-03-12)
With the advent of high-throughput methods more genomic data then ever has been generated during the past decade. As these technologies remain cost intensive and not worthwhile for every research group, databases, such as ...
Dissecting patient heterogeneity via statistical modeling based on multi-modal omics data
(2019-06-27)
One of the key goals of modern medicine is to treat patients individually, recognizing the heterogeneity that exists within them and thus hoping to provide them with more effective personalized therapies. '-Omics' patient ...