Translational Neuropathology Research Laboratory

The Translational Neuropathology Research Laboratory seeks to understand the molecular causes of age-related neurodegenerative diseases, in particular frontotemporal degeneration (FTD), amyotrophic lateral sclerosis (ALS), Alzheimer’s disease (AD) and Trauma-Related Neurodegeneration (TReND).  They use an interdisciplinary approach to address the mechanisms of neurodegeneration, including molecular, biochemical, histologic, physiologic and behavioral methods. They are also interested in using and developing cutting-edge techniques including multi-spectral confocal imaging, single cell RNA sequencing, spatial transcriptomics, CRISPR editing, and cryo-electron microscopy.

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Tree-based Pipeline Optimization Tool (TPOT)

Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all of the code it generates should look familiar… if you’re familiar with scikit-learn, anyway.

 

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