Tuesday, 14th February 2023 Interpretable linear and non-linear models predict gene expression from histone modifications Abstract: Mammalian epigenome influence multiple key biological processes including tissue differentiation and development. It is experimantally characterized by numerous quantifications at basepair resolution. We apply Supervised Principal Component Analysis (SPCA) and Kernel SPCA to model this high-dimesional input data and predict gene expression output. Furthermore, we utilise simple Taylor decomposition to make model-specific biological inferences. Event type: Workshop Date: Tuesday, 14th February 2023 Time: 11:00 Location: G.03 Speaker(s): Kashyap Chhatbar Chair/Host: This article was published on 2024-11-22
