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Model reduction and identificabiity.

Contributed Talk

15:00 – 15:20 – Scalable Machine Learning methods to detect meaningful lineages in
viral populations from large amounts of genetic data / Presenting author: Roberto Cahuantzi.

15:20 – 15:40 – Data-Driven model reduction for biomedical data / Presenting author: Ismaila
Muhammed

15:40 – 16:00 – Variable selection for nonlinear dimensionality reduction of biological
datasets through bootstrapping of correlation networks / Presenting author: David G. AragonΓ©s.

16:00 – 16:20 – Analytical Bayesian Framework for Differential Gene expression
analysis on RNA-Seq data / Presenting author: Franziska Hoerbst