Development of Integrative Machine Learning Tools for Neurodegenerative Diseases (Enrico Glaab)

Epigenetics Podcast

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In this episode of the Epigenetics Podcast, we caught up with Enrico Glaab from the University of Luxemburg to talk about his work on the development of integrative machine learning tools for neurodegenerative diseases.

The work of Dr. Enrico Glaab focuses on neurodegenerative disorders like Parkinson’s and Alzheimer’s disease. In his group his team works on the development of software tools to analyze molecular, clinical and neuroimaging data for those diseases that can be used and applied easily by scientists and deliver publication ready figures. More recently, Enrico Glaab's group got interested in the influence of Epigenetics in Parkinson's and Alzheimer's disease.

In this Episode we discuss how Enrico Glaab made the switch from wet-lab to becoming a bioinformatician and how he uses integrative machine learning tools to find approaches to not only cure but also be able to detect neurodegenerative diseases like Alzheimer's or Parkinson's early on.

References

Enrico Glaab, Reinhard Schneider (2015) RepExplore: addressing technical replicate variance in proteomics and metabolomics data analysis (Bioinformatics) DOI: 10.1093/bioinformatics/btv127
Enrico Glaab, Reinhard Schneider (2015) Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson’s disease (Neurobiology of Disease) DOI: 10.1016/j.nbd.2014.11.002
Sandra Köglsberger, Maria Lorena Cordero-Maldonado, … Enrico Glaab (2017) Gender-Specific Expression of Ubiquitin-Specific Peptidase 9 Modulates Tau Expression and Phosphorylation: Possible Implications for Tauopathies (Molecular Neurobiology) DOI: 10.1007/s12035-016-0299-z
Enrico Glaab, Paul Antony, … Manuel Buttini (2019) Transcriptome profiling data reveals ubiquitin-specific peptidase 9 knockdown effects (Data in Brief) DOI: 10.1016/j.dib.2019.104130

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